diff --git "a/optimization_stats.json" "b/optimization_stats.json"
new file mode 100644--- /dev/null
+++ "b/optimization_stats.json"
@@ -0,0 +1,4203 @@
+{
+  "total_queries": 500,
+  "successful_optimizations": 349,
+  "failed_optimizations": 151,
+  "avg_similarity_score": 0.6399074779133016,
+  "class_distribution": {
+    "DETERMINISTIC": 65,
+    "FOCUSED": 92,
+    "BALANCED": 82,
+    "CREATIVE": 62,
+    "EXPERIMENTAL": 48
+  },
+  "detailed_scores": [
+    {
+      "query": "question_id",
+      "class": "BALANCED",
+      "score": 0.7059909825520521,
+      "metrics": {
+        "length_ratio": 0.9564102564102565,
+        "lexical_similarity": 0.5643178043446598,
+        "semantic_similarity": 0.7180211544036865,
+        "edit_similarity": 0.7692307692307692,
+        "temperature": 0.7
+      }
+    },
+    {
+      "query": "category",
+      "class": "CREATIVE",
+      "score": 0.5751863987775953,
+      "metrics": {
+        "length_ratio": 0.5298804780876494,
+        "lexical_similarity": 0.45869008066091943,
+        "semantic_similarity": 0.7662591934204102,
+        "edit_similarity": 0.3904382470119522,
+        "temperature": 1.3
+      }
+    },
+    {
+      "query": "cluster",
+      "class": "CREATIVE",
+      "score": 0.6146628106508869,
+      "metrics": {
+        "length_ratio": 0.4715079916608756,
+        "lexical_similarity": 0.5413393030124466,
+        "semantic_similarity": 0.8737901449203491,
+        "edit_similarity": 0.27797081306462823,
+        "temperature": 1.2
+      }
+    },
+    {
+      "query": "turns",
+      "class": "FOCUSED",
+      "score": 0.6088542651417507,
+      "metrics": {
+        "length_ratio": 0.9568345323741008,
+        "lexical_similarity": 0.3609109455358704,
+        "semantic_similarity": 0.7172797918319702,
+        "edit_similarity": 0.5899280575539568,
+        "temperature": 0.3
+      }
+    },
+    {
+      "query": "question_id",
+      "class": "DETERMINISTIC",
+      "score": 0.6351831242767634,
+      "metrics": {
+        "length_ratio": 0.9235668789808917,
+        "lexical_similarity": 0.5045054842974452,
+        "semantic_similarity": 0.7653111815452576,
+        "edit_similarity": 0.4267515923566879,
+        "temperature": 0.0
+      }
+    },
+    {
+      "query": "cluster",
+      "class": "FOCUSED",
+      "score": 0.5147472466574486,
+      "metrics": {
+        "length_ratio": 0.6427795874049945,
+        "lexical_similarity": 0.2749603220300935,
+        "semantic_similarity": 0.7777162790298462,
+        "edit_similarity": 0.28447339847991315,
+        "temperature": 0.4
+      }
+    },
+    {
+      "query": "turns",
+      "class": "BALANCED",
+      "score": 0.6018894125225991,
+      "metrics": {
+        "length_ratio": 0.7883211678832117,
+        "lexical_similarity": 0.4652915323370138,
+        "semantic_similarity": 0.6083096265792847,
+        "edit_similarity": 0.7007299270072993,
+        "temperature": 0.7
+      }
+    },
+    {
+      "query": "question_id",
+      "class": "BALANCED",
+      "score": 0.9531943231102029,
+      "metrics": {
+        "length_ratio": 0.9340277777777778,
+        "lexical_similarity": 0.9269700632965784,
+        "semantic_similarity": 0.9941818714141846,
+        "edit_similarity": 0.9201388888888888,
+        "temperature": 0.7
+      }
+    },
+    {
+      "query": "category",
+      "class": "CREATIVE",
+      "score": 0.528544969349245,
+      "metrics": {
+        "length_ratio": 0.5959264126149802,
+        "lexical_similarity": 0.3349070921952999,
+        "semantic_similarity": 0.7769823670387268,
+        "edit_similarity": 0.2884362680683311,
+        "temperature": 1.2
+      }
+    },
+    {
+      "query": "cluster",
+      "class": "CREATIVE",
+      "score": 0.5870656018652936,
+      "metrics": {
+        "length_ratio": 0.896,
+        "lexical_similarity": 0.5254740687735939,
+        "semantic_similarity": 0.45755845308303833,
+        "edit_similarity": 0.784,
+        "temperature": 1.3
+      }
+    },
+    {
+      "query": "turns",
+      "class": "BALANCED",
+      "score": 0.628513269279096,
+      "metrics": {
+        "length_ratio": 0.4825174825174825,
+        "lexical_similarity": 0.49716360348268923,
+        "semantic_similarity": 0.8994594216346741,
+        "edit_similarity": 0.35664335664335667,
+        "temperature": 0.7
+      }
+    },
+    {
+      "query": "category",
+      "class": "FOCUSED",
+      "score": 0.513810155843031,
+      "metrics": {
+        "length_ratio": 0.6686868686868687,
+        "lexical_similarity": 0.29196697515599895,
+        "semantic_similarity": 0.7428228855133057,
+        "edit_similarity": 0.3111111111111111,
+        "temperature": 0.3
+      }
+    },
+    {
+      "query": "cluster",
+      "class": "DETERMINISTIC",
+      "score": 0.5472838134704366,
+      "metrics": {
+        "length_ratio": 0.2746803069053708,
+        "lexical_similarity": 0.5328899244883151,
+        "semantic_similarity": 0.7991047501564026,
+        "edit_similarity": 0.2015345268542199,
+        "temperature": 0.1
+      }
+    },
+    {
+      "query": "question_id",
+      "class": "DETERMINISTIC",
+      "score": 0.536629650087746,
+      "metrics": {
+        "length_ratio": 0.8151815181518152,
+        "lexical_similarity": 0.4110083627966629,
+        "semantic_similarity": 0.6529548168182373,
+        "edit_similarity": 0.3531353135313532,
+        "temperature": 0.0
+      }
+    },
+    {
+      "query": "cluster",
+      "class": "BALANCED",
+      "score": 0.5655224642051309,
+      "metrics": {
+        "length_ratio": 0.3485793485793486,
+        "lexical_similarity": 0.45863677863131047,
+        "semantic_similarity": 0.8163635730743408,
+        "edit_similarity": 0.33264033264033266,
+        "temperature": 0.7
+      }
+    },
+    {
+      "query": "turns",
+      "class": "DETERMINISTIC",
+      "score": 0.5355735517007538,
+      "metrics": {
+        "length_ratio": 0.9846938775510204,
+        "lexical_similarity": 0.2152425256625527,
+        "semantic_similarity": 0.7221448421478271,
+        "edit_similarity": 0.41836734693877553,
+        "temperature": 0.0
+      }
+    },
+    {
+      "query": "question_id",
+      "class": "DETERMINISTIC",
+      "score": 0.7703744083886733,
+      "metrics": {
+        "length_ratio": 0.9841269841269841,
+        "lexical_similarity": 0.6944383154967662,
+        "semantic_similarity": 0.7424088716506958,
+        "edit_similarity": 0.8333333333333334,
+        "temperature": 0.0
+      }
+    },
+    {
+      "query": "category",
+      "class": "EXPERIMENTAL",
+      "score": 0.5396424754083481,
+      "metrics": {
+        "length_ratio": 0.7149901380670611,
+        "lexical_similarity": 0.22134827115956449,
+        "semantic_similarity": 0.8667734861373901,
+        "edit_similarity": 0.2751479289940828,
+        "temperature": 1.7
+      }
+    },
+    {
+      "query": "cluster",
+      "class": "CREATIVE",
+      "score": 0.5791742075311055,
+      "metrics": {
+        "length_ratio": 0.7753623188405797,
+        "lexical_similarity": 0.383267402404445,
+        "semantic_similarity": 0.7338545322418213,
+        "edit_similarity": 0.4655797101449275,
+        "temperature": 1.2
+      }
+    },
+    {
+      "query": "turns",
+      "class": "BALANCED",
+      "score": 0.7111649805350573,
+      "metrics": {
+        "length_ratio": 0.992619926199262,
+        "lexical_similarity": 0.8659674074447716,
+        "semantic_similarity": 0.3950420618057251,
+        "edit_similarity": 0.9704797047970479,
+        "temperature": 0.7
+      }
+    },
+    {
+      "query": "question_id",
+      "class": "FOCUSED",
+      "score": 0.5516645990235423,
+      "metrics": {
+        "length_ratio": 0.9345238095238095,
+        "lexical_similarity": 0.3159161341076665,
+        "semantic_similarity": 0.7449029684066772,
+        "edit_similarity": 0.32738095238095233,
+        "temperature": 0.4
+      }
+    },
+    {
+      "query": "cluster",
+      "class": "DETERMINISTIC",
+      "score": 0.5960192511983388,
+      "metrics": {
+        "length_ratio": 0.8685208596713021,
+        "lexical_similarity": 0.3519205224580861,
+        "semantic_similarity": 0.8597992658615112,
+        "edit_similarity": 0.2983565107458913,
+        "temperature": 0.0
+      }
+    },
+    {
+      "query": "question_id",
+      "class": "FOCUSED",
+      "score": 0.7821216699818276,
+      "metrics": {
+        "length_ratio": 0.9763779527559056,
+        "lexical_similarity": 0.6944383154967662,
+        "semantic_similarity": 0.7750266194343567,
+        "edit_similarity": 0.8307086614173228,
+        "temperature": 0.4
+      }
+    },
+    {
+      "query": "category",
+      "class": "FOCUSED",
+      "score": 0.5047128391468365,
+      "metrics": {
+        "length_ratio": 0.24280666330136294,
+        "lexical_similarity": 0.32978692835767043,
+        "semantic_similarity": 0.8636342287063599,
+        "edit_similarity": 0.18021201413427557,
+        "temperature": 0.4
+      }
+    },
+    {
+      "query": "cluster",
+      "class": "BALANCED",
+      "score": 0.5347407561766314,
+      "metrics": {
+        "length_ratio": 0.697324414715719,
+        "lexical_similarity": 0.23778618534487408,
+        "semantic_similarity": 0.8286627531051636,
+        "edit_similarity": 0.3110367892976589,
+        "temperature": 0.8
+      }
+    },
+    {
+      "query": "turns",
+      "class": "BALANCED",
+      "score": 0.6102453037871165,
+      "metrics": {
+        "length_ratio": 0.9364161849710982,
+        "lexical_similarity": 0.3360969272762575,
+        "semantic_similarity": 0.7677602171897888,
+        "edit_similarity": 0.5433526011560694,
+        "temperature": 0.7
+      }
+    },
+    {
+      "query": "question_id",
+      "class": "BALANCED",
+      "score": 0.7249212199473067,
+      "metrics": {
+        "length_ratio": 0.9618320610687023,
+        "lexical_similarity": 0.6802322512594663,
+        "semantic_similarity": 0.7658693194389343,
+        "edit_similarity": 0.5916030534351144,
+        "temperature": 0.8
+      }
+    },
+    {
+      "query": "cluster",
+      "class": "BALANCED",
+      "score": 1.0000000476837159,
+      "metrics": {
+        "length_ratio": 1.0,
+        "lexical_similarity": 1.0,
+        "semantic_similarity": 1.0000001192092896,
+        "edit_similarity": 1.0,
+        "temperature": 0.8
+      }
+    },
+    {
+      "query": "turns",
+      "class": "EXPERIMENTAL",
+      "score": 0.500374678440661,
+      "metrics": {
+        "length_ratio": 0.425531914893617,
+        "lexical_similarity": 0.37642388002706373,
+        "semantic_similarity": 0.6707464456558228,
+        "edit_similarity": 0.3829787234042553,
+        "temperature": 1.8
+      }
+    },
+    {
+      "query": "question_id",
+      "class": "BALANCED",
+      "score": 0.5075896076279759,
+      "metrics": {
+        "length_ratio": 0.7931034482758621,
+        "lexical_similarity": 0.2547509971369165,
+        "semantic_similarity": 0.7146102786064148,
+        "edit_similarity": 0.3300492610837439,
+        "temperature": 0.8
+      }
+    },
+    {
+      "query": "cluster",
+      "class": "BALANCED",
+      "score": 0.5678254689626764,
+      "metrics": {
+        "length_ratio": 0.5426439232409381,
+        "lexical_similarity": 0.43316722810409347,
+        "semantic_similarity": 0.7991125583648682,
+        "edit_similarity": 0.3198294243070362,
+        "temperature": 0.8
+      }
+    },
+    {
+      "query": "turns",
+      "class": "DETERMINISTIC",
+      "score": 0.607621978325234,
+      "metrics": {
+        "length_ratio": 0.5578947368421052,
+        "lexical_similarity": 0.6418324856467302,
+        "semantic_similarity": 0.636803388595581,
+        "edit_similarity": 0.5228070175438597,
+        "temperature": 0.0
+      }
+    },
+    {
+      "query": "question_id",
+      "class": "FOCUSED",
+      "score": 0.536410181615325,
+      "metrics": {
+        "length_ratio": 0.801980198019802,
+        "lexical_similarity": 0.4110083627966629,
+        "semantic_similarity": 0.6540563106536865,
+        "edit_similarity": 0.3564356435643564,
+        "temperature": 0.4
+      }
+    },
+    {
+      "query": "cluster",
+      "class": "FOCUSED",
+      "score": 0.5960195960714669,
+      "metrics": {
+        "length_ratio": 0.6351674641148325,
+        "lexical_similarity": 0.4553087885456452,
+        "semantic_similarity": 0.8378616571426392,
+        "edit_similarity": 0.3038277511961722,
+        "temperature": 0.4
+      }
+    },
+    {
+      "query": "question_id",
+      "class": "BALANCED",
+      "score": 0.532763391700659,
+      "metrics": {
+        "length_ratio": 0.6160337552742616,
+        "lexical_similarity": 0.46890698368768263,
+        "semantic_similarity": 0.6542788743972778,
+        "edit_similarity": 0.3438818565400844,
+        "temperature": 0.7
+      }
+    },
+    {
+      "query": "category",
+      "class": "CREATIVE",
+      "score": 0.5722378665524257,
+      "metrics": {
+        "length_ratio": 0.8567839195979899,
+        "lexical_similarity": 0.26585878340973845,
+        "semantic_similarity": 0.8700196743011475,
+        "edit_similarity": 0.29396984924623115,
+        "temperature": 1.3
+      }
+    },
+    {
+      "query": "cluster",
+      "class": "EXPERIMENTAL",
+      "score": 0.5641688926546011,
+      "metrics": {
+        "length_ratio": 0.5532608695652174,
+        "lexical_similarity": 0.32594036268654336,
+        "semantic_similarity": 0.8896082639694214,
+        "edit_similarity": 0.2760869565217391,
+        "temperature": 1.7
+      }
+    },
+    {
+      "query": "category",
+      "class": "FOCUSED",
+      "score": 0.5098659052902605,
+      "metrics": {
+        "length_ratio": 0.6911764705882353,
+        "lexical_similarity": 0.13402827072482115,
+        "semantic_similarity": 0.8624605536460876,
+        "edit_similarity": 0.2777777777777778,
+        "temperature": 0.4
+      }
+    },
+    {
+      "query": "turns",
+      "class": "BALANCED",
+      "score": 0.532357886955524,
+      "metrics": {
+        "length_ratio": 0.5155038759689923,
+        "lexical_similarity": 0.3747963455289782,
+        "semantic_similarity": 0.7639447450637817,
+        "edit_similarity": 0.313953488372093,
+        "temperature": 0.8
+      }
+    },
+    {
+      "query": "question_id",
+      "class": "BALANCED",
+      "score": 0.5441138742847181,
+      "metrics": {
+        "length_ratio": 0.6963350785340314,
+        "lexical_similarity": 0.3432897987967679,
+        "semantic_similarity": 0.7441785931587219,
+        "edit_similarity": 0.3691099476439791,
+        "temperature": 0.8
+      }
+    },
+    {
+      "query": "category",
+      "class": "EXPERIMENTAL",
+      "score": 0.5790732978829545,
+      "metrics": {
+        "length_ratio": 0.9644670050761421,
+        "lexical_similarity": 0.31900095323186034,
+        "semantic_similarity": 0.8124934434890747,
+        "edit_similarity": 0.30964467005076146,
+        "temperature": 1.7
+      }
+    },
+    {
+      "query": "cluster",
+      "class": "EXPERIMENTAL",
+      "score": 0.5714684620437974,
+      "metrics": {
+        "length_ratio": 0.7991452991452992,
+        "lexical_similarity": 0.4456422836911324,
+        "semantic_similarity": 0.5463625192642212,
+        "edit_similarity": 0.6965811965811965,
+        "temperature": 1.8
+      }
+    },
+    {
+      "query": "question_id",
+      "class": "DETERMINISTIC",
+      "score": 0.7744638526748274,
+      "metrics": {
+        "length_ratio": 0.9570200573065902,
+        "lexical_similarity": 0.7459775195995609,
+        "semantic_similarity": 0.7190833687782288,
+        "edit_similarity": 0.836676217765043,
+        "temperature": 0.0
+      }
+    },
+    {
+      "query": "cluster",
+      "class": "CREATIVE",
+      "score": 0.5399141522220438,
+      "metrics": {
+        "length_ratio": 0.3412736995624696,
+        "lexical_similarity": 0.4633500123125908,
+        "semantic_similarity": 0.809516429901123,
+        "edit_similarity": 0.2148760330578512,
+        "temperature": 1.3
+      }
+    },
+    {
+      "query": "turns",
+      "class": "FOCUSED",
+      "score": 0.6088542651417507,
+      "metrics": {
+        "length_ratio": 0.9568345323741008,
+        "lexical_similarity": 0.3609109455358704,
+        "semantic_similarity": 0.7172797918319702,
+        "edit_similarity": 0.5899280575539568,
+        "temperature": 0.4
+      }
+    },
+    {
+      "query": "question_id",
+      "class": "FOCUSED",
+      "score": 0.6315378574496446,
+      "metrics": {
+        "length_ratio": 0.8910505836575876,
+        "lexical_similarity": 0.5225154396305931,
+        "semantic_similarity": 0.7579697370529175,
+        "edit_similarity": 0.41245136186770426,
+        "temperature": 0.4
+      }
+    },
+    {
+      "query": "turns",
+      "class": "FOCUSED",
+      "score": 0.5298110005639269,
+      "metrics": {
+        "length_ratio": 0.6045454545454545,
+        "lexical_similarity": 0.26055567105626243,
+        "semantic_similarity": 0.7597925662994385,
+        "edit_similarity": 0.4363636363636364,
+        "temperature": 0.3
+      }
+    },
+    {
+      "query": "question_id",
+      "class": "FOCUSED",
+      "score": 0.5898933361796438,
+      "metrics": {
+        "length_ratio": 0.927710843373494,
+        "lexical_similarity": 0.4625436551069624,
+        "semantic_similarity": 0.6790304183959961,
+        "edit_similarity": 0.4337349397590361,
+        "temperature": 0.4
+      }
+    },
+    {
+      "query": "turns",
+      "class": "EXPERIMENTAL",
+      "score": 0.6276644581961617,
+      "metrics": {
+        "length_ratio": 0.7643979057591623,
+        "lexical_similarity": 0.7474073540060466,
+        "semantic_similarity": 0.4483962059020996,
+        "edit_similarity": 0.7382198952879582,
+        "temperature": 1.8
+      }
+    },
+    {
+      "query": "question_id",
+      "class": "CREATIVE",
+      "score": 0.7962880129350551,
+      "metrics": {
+        "length_ratio": 0.9626865671641791,
+        "lexical_similarity": 0.7687721282447993,
+        "semantic_similarity": 0.7219767570495605,
+        "edit_similarity": 0.9029850746268657,
+        "temperature": 1.3
+      }
+    },
+    {
+      "query": "category",
+      "class": "CREATIVE",
+      "score": 0.5638053908346358,
+      "metrics": {
+        "length_ratio": 0.7150395778364116,
+        "lexical_similarity": 0.30194764878258257,
+        "semantic_similarity": 0.8301503658294678,
+        "edit_similarity": 0.3482849604221636,
+        "temperature": 1.3
+      }
+    },
+    {
+      "query": "cluster",
+      "class": "BALANCED",
+      "score": 0.5390568291920123,
+      "metrics": {
+        "length_ratio": 0.8282208588957055,
+        "lexical_similarity": 0.19708130466865814,
+        "semantic_similarity": 0.8547390699386597,
+        "edit_similarity": 0.2760736196319018,
+        "temperature": 0.7
+      }
+    },
+    {
+      "query": "turns",
+      "class": "BALANCED",
+      "score": 0.6928083000161823,
+      "metrics": {
+        "length_ratio": 0.7627118644067796,
+        "lexical_similarity": 0.5455589242637945,
+        "semantic_similarity": 0.8355634212493896,
+        "edit_similarity": 0.5932203389830508,
+        "temperature": 0.8
+      }
+    },
+    {
+      "query": "question_id",
+      "class": "BALANCED",
+      "score": 0.7369405163581465,
+      "metrics": {
+        "length_ratio": 0.967741935483871,
+        "lexical_similarity": 0.6016628440019703,
+        "semantic_similarity": 0.7701364159584045,
+        "edit_similarity": 0.7580645161290323,
+        "temperature": 0.8
+      }
+    },
+    {
+      "query": "cluster",
+      "class": "EXPERIMENTAL",
+      "score": 0.5882789402446619,
+      "metrics": {
+        "length_ratio": 0.582168995342648,
+        "lexical_similarity": 0.4627415744249302,
+        "semantic_similarity": 0.7974601984024048,
+        "edit_similarity": 0.36127744510978044,
+        "temperature": 1.8
+      }
+    },
+    {
+      "query": "category",
+      "class": "EXPERIMENTAL",
+      "score": 0.5111490015504628,
+      "metrics": {
+        "length_ratio": 0.4510250569476082,
+        "lexical_similarity": 0.19619999404342842,
+        "semantic_similarity": 0.8915425539016724,
+        "edit_similarity": 0.25284738041002275,
+        "temperature": 1.7
+      }
+    },
+    {
+      "query": "cluster",
+      "class": "CREATIVE",
+      "score": 0.6325282421394773,
+      "metrics": {
+        "length_ratio": 0.7060552616108172,
+        "lexical_similarity": 0.4243040548957107,
+        "semantic_similarity": 0.9210878610610962,
+        "edit_similarity": 0.33098177542621987,
+        "temperature": 1.2
+      }
+    },
+    {
+      "query": "turns",
+      "class": "EXPERIMENTAL",
+      "score": 0.6223449345383658,
+      "metrics": {
+        "length_ratio": 0.8837209302325582,
+        "lexical_similarity": 0.35639229999036287,
+        "semantic_similarity": 0.7304285764694214,
+        "edit_similarity": 0.6744186046511628,
+        "temperature": 1.8
+      }
+    },
+    {
+      "query": "question_id",
+      "class": "BALANCED",
+      "score": 0.5651620107348945,
+      "metrics": {
+        "length_ratio": 0.9788135593220338,
+        "lexical_similarity": 0.46834818595050043,
+        "semantic_similarity": 0.6580421924591064,
+        "edit_similarity": 0.31779661016949157,
+        "temperature": 0.7
+      }
+    },
+    {
+      "query": "category",
+      "class": "BALANCED",
+      "score": 0.5705156383010679,
+      "metrics": {
+        "length_ratio": 0.38084326306141153,
+        "lexical_similarity": 0.44200475038427045,
+        "semantic_similarity": 0.8811054229736328,
+        "edit_similarity": 0.23693858845096238,
+        "temperature": 0.8
+      }
+    },
+    {
+      "query": "question_id",
+      "class": "FOCUSED",
+      "score": 0.7889198980698481,
+      "metrics": {
+        "length_ratio": 0.9356060606060606,
+        "lexical_similarity": 0.7679394032516998,
+        "semantic_similarity": 0.7457770109176636,
+        "edit_similarity": 0.8333333333333334,
+        "temperature": 0.4
+      }
+    },
+    {
+      "query": "cluster",
+      "class": "DETERMINISTIC",
+      "score": 0.508526652447828,
+      "metrics": {
+        "length_ratio": 0.46613255644573925,
+        "lexical_similarity": 0.3172656784183211,
+        "semantic_similarity": 0.7864627838134766,
+        "edit_similarity": 0.26074289876183543,
+        "temperature": 0.1
+      }
+    },
+    {
+      "query": "question_id",
+      "class": "FOCUSED",
+      "score": 0.6297916254103437,
+      "metrics": {
+        "length_ratio": 0.946969696969697,
+        "lexical_similarity": 0.44062006617142707,
+        "semantic_similarity": 0.7553776502609253,
+        "edit_similarity": 0.5037878787878788,
+        "temperature": 0.3
+      }
+    },
+    {
+      "query": "category",
+      "class": "BALANCED",
+      "score": 0.5269887977096316,
+      "metrics": {
+        "length_ratio": 0.8418079096045198,
+        "lexical_similarity": 0.18257106462844866,
+        "semantic_similarity": 0.8020126223564148,
+        "edit_similarity": 0.33615819209039544,
+        "temperature": 0.7
+      }
+    },
+    {
+      "query": "cluster",
+      "class": "DETERMINISTIC",
+      "score": 0.5654228648909312,
+      "metrics": {
+        "length_ratio": 0.5463258785942492,
+        "lexical_similarity": 0.42613544207274257,
+        "semantic_similarity": 0.8141366243362427,
+        "edit_similarity": 0.28647497337593186,
+        "temperature": 0.1
+      }
+    },
+    {
+      "query": "turns",
+      "class": "BALANCED",
+      "score": 0.5710557139066229,
+      "metrics": {
+        "length_ratio": 0.9815668202764977,
+        "lexical_similarity": 0.35909720506655163,
+        "semantic_similarity": 0.7401136159896851,
+        "edit_similarity": 0.34562211981566815,
+        "temperature": 0.8
+      }
+    },
+    {
+      "query": "question_id",
+      "class": "DETERMINISTIC",
+      "score": 0.7703744083886733,
+      "metrics": {
+        "length_ratio": 0.9841269841269841,
+        "lexical_similarity": 0.6944383154967662,
+        "semantic_similarity": 0.7424088716506958,
+        "edit_similarity": 0.8333333333333334,
+        "temperature": 0.0
+      }
+    },
+    {
+      "query": "category",
+      "class": "BALANCED",
+      "score": 0.502751719530955,
+      "metrics": {
+        "length_ratio": 0.9140127388535032,
+        "lexical_similarity": 0.12959865639408844,
+        "semantic_similarity": 0.7592025995254517,
+        "edit_similarity": 0.3439490445859873,
+        "temperature": 0.8
+      }
+    },
+    {
+      "query": "cluster",
+      "class": "DETERMINISTIC",
+      "score": 0.5243601747712107,
+      "metrics": {
+        "length_ratio": 0.3927905531385954,
+        "lexical_similarity": 0.4060733452578685,
+        "semantic_similarity": 0.7860222458839417,
+        "edit_similarity": 0.2442510876320696,
+        "temperature": 0.1
+      }
+    },
+    {
+      "query": "question_id",
+      "class": "DETERMINISTIC",
+      "score": 0.8442031574659085,
+      "metrics": {
+        "length_ratio": 0.987012987012987,
+        "lexical_similarity": 0.8388916689930075,
+        "semantic_similarity": 0.7735469341278076,
+        "edit_similarity": 0.922077922077922,
+        "temperature": 0.0
+      }
+    },
+    {
+      "query": "cluster",
+      "class": "BALANCED",
+      "score": 1.0000000000000002,
+      "metrics": {
+        "length_ratio": 1.0,
+        "lexical_similarity": 1.0000000000000007,
+        "semantic_similarity": 1.0,
+        "edit_similarity": 1.0,
+        "temperature": 0.7
+      }
+    },
+    {
+      "query": "turns",
+      "class": "DETERMINISTIC",
+      "score": 0.6542316680572198,
+      "metrics": {
+        "length_ratio": 0.6138996138996139,
+        "lexical_similarity": 0.6858816309021214,
+        "semantic_similarity": 0.660743236541748,
+        "edit_similarity": 0.6138996138996139,
+        "temperature": 0.0
+      }
+    },
+    {
+      "query": "question_id",
+      "class": "FOCUSED",
+      "score": 0.536410181615325,
+      "metrics": {
+        "length_ratio": 0.801980198019802,
+        "lexical_similarity": 0.4110083627966629,
+        "semantic_similarity": 0.6540563106536865,
+        "edit_similarity": 0.3564356435643564,
+        "temperature": 0.4
+      }
+    },
+    {
+      "query": "category",
+      "class": "DETERMINISTIC",
+      "score": 0.5059794024003708,
+      "metrics": {
+        "length_ratio": 0.9699248120300752,
+        "lexical_similarity": 0.2659192406559315,
+        "semantic_similarity": 0.6294188499450684,
+        "edit_similarity": 0.3872180451127819,
+        "temperature": 0.0
+      }
+    },
+    {
+      "query": "turns",
+      "class": "BALANCED",
+      "score": 0.5489536312561427,
+      "metrics": {
+        "length_ratio": 0.48314606741573035,
+        "lexical_similarity": 0.5797386715376658,
+        "semantic_similarity": 0.5808385014533997,
+        "edit_similarity": 0.4719101123595506,
+        "temperature": 0.8
+      }
+    },
+    {
+      "query": "question_id",
+      "class": "DETERMINISTIC",
+      "score": 0.6633723542408219,
+      "metrics": {
+        "length_ratio": 0.8874458874458875,
+        "lexical_similarity": 0.5215655569103778,
+        "semantic_similarity": 0.7423649430274963,
+        "edit_similarity": 0.6060606060606061,
+        "temperature": 0.0
+      }
+    },
+    {
+      "query": "category",
+      "class": "FOCUSED",
+      "score": 0.530570243247463,
+      "metrics": {
+        "length_ratio": 0.8501228501228502,
+        "lexical_similarity": 0.1878995490567389,
+        "semantic_similarity": 0.8046655654907227,
+        "edit_similarity": 0.33660933660933656,
+        "temperature": 0.4
+      }
+    },
+    {
+      "query": "cluster",
+      "class": "EXPERIMENTAL",
+      "score": 0.5523564099441928,
+      "metrics": {
+        "length_ratio": 0.41881051175656986,
+        "lexical_similarity": 0.40770354010450116,
+        "semantic_similarity": 0.8457911014556885,
+        "edit_similarity": 0.2492392807745505,
+        "temperature": 1.8
+      }
+    },
+    {
+      "query": "question_id",
+      "class": "DETERMINISTIC",
+      "score": 0.5423848766548242,
+      "metrics": {
+        "length_ratio": 0.9134199134199135,
+        "lexical_similarity": 0.452567776997351,
+        "semantic_similarity": 0.6106922030448914,
+        "edit_similarity": 0.35497835497835495,
+        "temperature": 0.1
+      }
+    },
+    {
+      "query": "cluster",
+      "class": "CREATIVE",
+      "score": 0.6495408185729749,
+      "metrics": {
+        "length_ratio": 0.6657350475125768,
+        "lexical_similarity": 0.5739214428396855,
+        "semantic_similarity": 0.8866753578186035,
+        "edit_similarity": 0.2806036892118502,
+        "temperature": 1.3
+      }
+    },
+    {
+      "query": "question_id",
+      "class": "BALANCED",
+      "score": 0.8045161965597223,
+      "metrics": {
+        "length_ratio": 0.9312977099236641,
+        "lexical_similarity": 0.7991350156337251,
+        "semantic_similarity": 0.7611758708953857,
+        "edit_similarity": 0.8358778625954199,
+        "temperature": 0.8
+      }
+    },
+    {
+      "query": "turns",
+      "class": "BALANCED",
+      "score": 0.5098626435898719,
+      "metrics": {
+        "length_ratio": 0.937888198757764,
+        "lexical_similarity": 0.27235315896952067,
+        "semantic_similarity": 0.571944534778595,
+        "edit_similarity": 0.5279503105590062,
+        "temperature": 0.7
+      }
+    },
+    {
+      "query": "question_id",
+      "class": "CREATIVE",
+      "score": 0.9416599179539737,
+      "metrics": {
+        "length_ratio": 0.9841897233201581,
+        "lexical_similarity": 0.9239535357171462,
+        "semantic_similarity": 0.9269949197769165,
+        "edit_similarity": 0.9762845849802372,
+        "temperature": 1.2
+      }
+    },
+    {
+      "query": "cluster",
+      "class": "CREATIVE",
+      "score": 0.6269419853960444,
+      "metrics": {
+        "length_ratio": 0.4363957597173145,
+        "lexical_similarity": 0.5827427138524662,
+        "semantic_similarity": 0.8705806136131287,
+        "edit_similarity": 0.3012367491166078,
+        "temperature": 1.2
+      }
+    },
+    {
+      "query": "question_id",
+      "class": "DETERMINISTIC",
+      "score": 0.5423848766548242,
+      "metrics": {
+        "length_ratio": 0.9134199134199135,
+        "lexical_similarity": 0.452567776997351,
+        "semantic_similarity": 0.6106922030448914,
+        "edit_similarity": 0.35497835497835495,
+        "temperature": 0.1
+      }
+    },
+    {
+      "query": "cluster",
+      "class": "EXPERIMENTAL",
+      "score": 0.524816568757205,
+      "metrics": {
+        "length_ratio": 0.919454770755886,
+        "lexical_similarity": 0.1594623575117294,
+        "semantic_similarity": 0.8374260663986206,
+        "edit_similarity": 0.25030978934324655,
+        "temperature": 1.7
+      }
+    },
+    {
+      "query": "turns",
+      "class": "CREATIVE",
+      "score": 0.7133335427405003,
+      "metrics": {
+        "length_ratio": 0.9078341013824884,
+        "lexical_similarity": 0.6152186908963321,
+        "semantic_similarity": 0.806942880153656,
+        "edit_similarity": 0.5760368663594471,
+        "temperature": 1.3
+      }
+    },
+    {
+      "query": "question_id",
+      "class": "DETERMINISTIC",
+      "score": 0.5680944510187977,
+      "metrics": {
+        "length_ratio": 0.8430232558139535,
+        "lexical_similarity": 0.40297190932887,
+        "semantic_similarity": 0.7066699862480164,
+        "edit_similarity": 0.40116279069767447,
+        "temperature": 0.0
+      }
+    },
+    {
+      "query": "cluster",
+      "class": "DETERMINISTIC",
+      "score": 0.5169545988588834,
+      "metrics": {
+        "length_ratio": 0.3972809667673716,
+        "lexical_similarity": 0.33794349855728734,
+        "semantic_similarity": 0.8164968490600586,
+        "edit_similarity": 0.24622356495468278,
+        "temperature": 0.1
+      }
+    },
+    {
+      "query": "turns",
+      "class": "BALANCED",
+      "score": 1.0,
+      "metrics": {
+        "length_ratio": 1.0,
+        "lexical_similarity": 1.0000000000000002,
+        "semantic_similarity": 1.0,
+        "edit_similarity": 1.0,
+        "temperature": 0.8
+      }
+    },
+    {
+      "query": "question_id",
+      "class": "BALANCED",
+      "score": 0.6330361274813499,
+      "metrics": {
+        "length_ratio": 0.9435483870967742,
+        "lexical_similarity": 0.4035006033688616,
+        "semantic_similarity": 0.7154487371444702,
+        "edit_similarity": 0.657258064516129,
+        "temperature": 0.8
+      }
+    },
+    {
+      "query": "category",
+      "class": "EXPERIMENTAL",
+      "score": 0.5258509484975656,
+      "metrics": {
+        "length_ratio": 0.8588754134509372,
+        "lexical_similarity": 0.18686982786706247,
+        "semantic_similarity": 0.834618330001831,
+        "edit_similarity": 0.2502756339581036,
+        "temperature": 1.7
+      }
+    },
+    {
+      "query": "cluster",
+      "class": "FOCUSED",
+      "score": 0.5275091199550599,
+      "metrics": {
+        "length_ratio": 0.5924324324324325,
+        "lexical_similarity": 0.29099850282943013,
+        "semantic_similarity": 0.7999833822250366,
+        "edit_similarity": 0.30486486486486486,
+        "temperature": 0.4
+      }
+    },
+    {
+      "query": "question_id",
+      "class": "BALANCED",
+      "score": 0.826544028274957,
+      "metrics": {
+        "length_ratio": 0.9774436090225563,
+        "lexical_similarity": 0.8460555273069104,
+        "semantic_similarity": 0.7288109064102173,
+        "edit_similarity": 0.9172932330827068,
+        "temperature": 0.8
+      }
+    },
+    {
+      "query": "cluster",
+      "class": "FOCUSED",
+      "score": 0.527337376500564,
+      "metrics": {
+        "length_ratio": 0.27256317689530685,
+        "lexical_similarity": 0.44938249276283787,
+        "semantic_similarity": 0.814489483833313,
+        "edit_similarity": 0.19735258724428395,
+        "temperature": 0.3
+      }
+    },
+    {
+      "query": "question_id",
+      "class": "BALANCED",
+      "score": 0.7619129112061984,
+      "metrics": {
+        "length_ratio": 0.9534883720930233,
+        "lexical_similarity": 0.7475652182703256,
+        "semantic_similarity": 0.6921150088310242,
+        "edit_similarity": 0.8272425249169435,
+        "temperature": 0.7
+      }
+    },
+    {
+      "query": "category",
+      "class": "FOCUSED",
+      "score": 0.5008032808934237,
+      "metrics": {
+        "length_ratio": 0.9202279202279202,
+        "lexical_similarity": 0.13490669520561985,
+        "semantic_similarity": 0.765500545501709,
+        "edit_similarity": 0.3105413105413105,
+        "temperature": 0.3
+      }
+    },
+    {
+      "query": "cluster",
+      "class": "EXPERIMENTAL",
+      "score": 0.5054570694944555,
+      "metrics": {
+        "length_ratio": 0.6860158311345647,
+        "lexical_similarity": 0.19855251326297316,
+        "semantic_similarity": 0.7981055974960327,
+        "edit_similarity": 0.29023746701846964,
+        "temperature": 1.7
+      }
+    },
+    {
+      "query": "turns",
+      "class": "EXPERIMENTAL",
+      "score": 0.5707154624515312,
+      "metrics": {
+        "length_ratio": 0.7171717171717171,
+        "lexical_similarity": 0.4760060178327107,
+        "semantic_similarity": 0.5925114154815674,
+        "edit_similarity": 0.595959595959596,
+        "temperature": 1.8
+      }
+    },
+    {
+      "query": "question_id",
+      "class": "FOCUSED",
+      "score": 0.770904132497262,
+      "metrics": {
+        "length_ratio": 0.9841897233201581,
+        "lexical_similarity": 0.6944383154967662,
+        "semantic_similarity": 0.7433881163597107,
+        "edit_similarity": 0.83399209486166,
+        "temperature": 0.4
+      }
+    },
+    {
+      "query": "category",
+      "class": "FOCUSED",
+      "score": 0.5044592670911677,
+      "metrics": {
+        "length_ratio": 0.9367469879518072,
+        "lexical_similarity": 0.18320885153847913,
+        "semantic_similarity": 0.7329282760620117,
+        "edit_similarity": 0.3132530120481928,
+        "temperature": 0.3
+      }
+    },
+    {
+      "query": "question_id",
+      "class": "DETERMINISTIC",
+      "score": 0.824624082639052,
+      "metrics": {
+        "length_ratio": 0.9808429118773946,
+        "lexical_similarity": 0.794450473202992,
+        "semantic_similarity": 0.7856457233428955,
+        "edit_similarity": 0.8697318007662835,
+        "temperature": 0.0
+      }
+    },
+    {
+      "query": "cluster",
+      "class": "BALANCED",
+      "score": 0.5508069353858265,
+      "metrics": {
+        "length_ratio": 0.9303135888501742,
+        "lexical_similarity": 0.22150311285842836,
+        "semantic_similarity": 0.8267436623573303,
+        "edit_similarity": 0.3031358885017421,
+        "temperature": 0.7
+      }
+    },
+    {
+      "query": "turns",
+      "class": "CREATIVE",
+      "score": 0.6790524605677041,
+      "metrics": {
+        "length_ratio": 0.8928571428571429,
+        "lexical_similarity": 0.7422604478710504,
+        "semantic_similarity": 0.5843881964683533,
+        "edit_similarity": 0.6666666666666667,
+        "temperature": 1.3
+      }
+    },
+    {
+      "query": "question_id",
+      "class": "CREATIVE",
+      "score": 0.654373611056564,
+      "metrics": {
+        "length_ratio": 0.9828767123287672,
+        "lexical_similarity": 0.45475792740552184,
+        "semantic_similarity": 0.7392148971557617,
+        "edit_similarity": 0.6198630136986301,
+        "temperature": 1.2
+      }
+    },
+    {
+      "query": "category",
+      "class": "CREATIVE",
+      "score": 0.5306676070942445,
+      "metrics": {
+        "length_ratio": 0.8213399503722084,
+        "lexical_similarity": 0.2843879634701874,
+        "semantic_similarity": 0.7653631567955017,
+        "edit_similarity": 0.2853598014888338,
+        "temperature": 1.2
+      }
+    },
+    {
+      "query": "cluster",
+      "class": "DETERMINISTIC",
+      "score": 0.5289338571578902,
+      "metrics": {
+        "length_ratio": 0.4332514332514332,
+        "lexical_similarity": 0.32311956590515845,
+        "semantic_similarity": 0.8435084819793701,
+        "edit_similarity": 0.2563472563472563,
+        "temperature": 0.0
+      }
+    },
+    {
+      "query": "category",
+      "class": "FOCUSED",
+      "score": 0.5317674557763636,
+      "metrics": {
+        "length_ratio": 0.9685314685314685,
+        "lexical_similarity": 0.161067270493815,
+        "semantic_similarity": 0.8196321725845337,
+        "edit_similarity": 0.29370629370629375,
+        "temperature": 0.3
+      }
+    },
+    {
+      "query": "cluster",
+      "class": "EXPERIMENTAL",
+      "score": 0.7146132246103408,
+      "metrics": {
+        "length_ratio": 0.9301587301587302,
+        "lexical_similarity": 0.5776774631665651,
+        "semantic_similarity": 0.7223225831985474,
+        "edit_similarity": 0.7968253968253969,
+        "temperature": 1.8
+      }
+    },
+    {
+      "query": "turns",
+      "class": "DETERMINISTIC",
+      "score": 0.5622418213711672,
+      "metrics": {
+        "length_ratio": 0.92,
+        "lexical_similarity": 0.2543164255971685,
+        "semantic_similarity": 0.7148672342300415,
+        "edit_similarity": 0.54,
+        "temperature": 0.0
+      }
+    },
+    {
+      "query": "question_id",
+      "class": "CREATIVE",
+      "score": 0.8127909383371158,
+      "metrics": {
+        "length_ratio": 0.9518900343642611,
+        "lexical_similarity": 0.787518588933626,
+        "semantic_similarity": 0.7600669264793396,
+        "edit_similarity": 0.8865979381443299,
+        "temperature": 1.2
+      }
+    },
+    {
+      "query": "category",
+      "class": "DETERMINISTIC",
+      "score": 0.5531205795411729,
+      "metrics": {
+        "length_ratio": 0.6867627785058977,
+        "lexical_similarity": 0.24492262201276807,
+        "semantic_similarity": 0.8878381848335266,
+        "edit_similarity": 0.27916120576671033,
+        "temperature": 0.0
+      }
+    },
+    {
+      "query": "turns",
+      "class": "FOCUSED",
+      "score": 0.5752453533697153,
+      "metrics": {
+        "length_ratio": 0.48036253776435045,
+        "lexical_similarity": 0.5865616473575934,
+        "semantic_similarity": 0.6530259847640991,
+        "edit_similarity": 0.4501510574018127,
+        "temperature": 0.3
+      }
+    },
+    {
+      "query": "question_id",
+      "class": "BALANCED",
+      "score": 0.7156784030390583,
+      "metrics": {
+        "length_ratio": 0.979381443298969,
+        "lexical_similarity": 0.6090347301970297,
+        "semantic_similarity": 0.7198770046234131,
+        "edit_similarity": 0.7353951890034365,
+        "temperature": 0.8
+      }
+    },
+    {
+      "query": "cluster",
+      "class": "BALANCED",
+      "score": 0.6365873908170158,
+      "metrics": {
+        "length_ratio": 0.7023498694516971,
+        "lexical_similarity": 0.5174226675524137,
+        "semantic_similarity": 0.8776834607124329,
+        "edit_similarity": 0.30026109660574407,
+        "temperature": 0.8
+      }
+    },
+    {
+      "query": "question_id",
+      "class": "EXPERIMENTAL",
+      "score": 0.5677389960436124,
+      "metrics": {
+        "length_ratio": 0.7088948787061995,
+        "lexical_similarity": 0.48276929757857157,
+        "semantic_similarity": 0.7102354764938354,
+        "edit_similarity": 0.339622641509434,
+        "temperature": 1.7
+      }
+    },
+    {
+      "query": "category",
+      "class": "FOCUSED",
+      "score": 0.5084116746713558,
+      "metrics": {
+        "length_ratio": 0.41610325752919486,
+        "lexical_similarity": 0.2715218999706203,
+        "semantic_similarity": 0.8444314002990723,
+        "edit_similarity": 0.23786109403810696,
+        "temperature": 0.3
+      }
+    },
+    {
+      "query": "turns",
+      "class": "CREATIVE",
+      "score": 0.7718600490365894,
+      "metrics": {
+        "length_ratio": 0.9892857142857143,
+        "lexical_similarity": 0.9276773404848623,
+        "semantic_similarity": 0.5062135457992554,
+        "edit_similarity": 0.9607142857142857,
+        "temperature": 1.2
+      }
+    },
+    {
+      "query": "question_id",
+      "class": "FOCUSED",
+      "score": 0.582767475024267,
+      "metrics": {
+        "length_ratio": 0.9429657794676806,
+        "lexical_similarity": 0.34674797693096654,
+        "semantic_similarity": 0.7748044729232788,
+        "edit_similarity": 0.37262357414448666,
+        "temperature": 0.3
+      }
+    },
+    {
+      "query": "cluster",
+      "class": "BALANCED",
+      "score": 0.552352067369028,
+      "metrics": {
+        "length_ratio": 0.654320987654321,
+        "lexical_similarity": 0.3595956235086529,
+        "semantic_similarity": 0.8092287182807922,
+        "edit_similarity": 0.2767489711934157,
+        "temperature": 0.7
+      }
+    },
+    {
+      "query": "turns",
+      "class": "CREATIVE",
+      "score": 0.5893215378503369,
+      "metrics": {
+        "length_ratio": 0.9193548387096774,
+        "lexical_similarity": 0.18443191662261313,
+        "semantic_similarity": 0.8188508749008179,
+        "edit_similarity": 0.5725806451612903,
+        "temperature": 1.2
+      }
+    },
+    {
+      "query": "question_id",
+      "class": "DETERMINISTIC",
+      "score": 0.5556050482989365,
+      "metrics": {
+        "length_ratio": 0.9012738853503185,
+        "lexical_similarity": 0.29729858735851095,
+        "semantic_similarity": 0.7512297630310059,
+        "edit_similarity": 0.37898089171974525,
+        "temperature": 0.0
+      }
+    },
+    {
+      "query": "question_id",
+      "class": "BALANCED",
+      "score": 0.5560387849489266,
+      "metrics": {
+        "length_ratio": 0.9518072289156626,
+        "lexical_similarity": 0.409921032251728,
+        "semantic_similarity": 0.6760296821594238,
+        "edit_similarity": 0.3373493975903614,
+        "temperature": 0.8
+      }
+    },
+    {
+      "query": "category",
+      "class": "FOCUSED",
+      "score": 0.5097154998305764,
+      "metrics": {
+        "length_ratio": 0.9311594202898551,
+        "lexical_similarity": 0.22933017374001394,
+        "semantic_similarity": 0.739066481590271,
+        "edit_similarity": 0.26086956521739135,
+        "temperature": 0.4
+      }
+    },
+    {
+      "query": "question_id",
+      "class": "DETERMINISTIC",
+      "score": 0.8226576833277411,
+      "metrics": {
+        "length_ratio": 0.9864253393665159,
+        "lexical_similarity": 0.8019377725354989,
+        "semantic_similarity": 0.7583582997322083,
+        "edit_similarity": 0.9004524886877828,
+        "temperature": 0.0
+      }
+    },
+    {
+      "query": "category",
+      "class": "CREATIVE",
+      "score": 0.5001604328679217,
+      "metrics": {
+        "length_ratio": 0.9967741935483871,
+        "lexical_similarity": 0.2042421794914255,
+        "semantic_similarity": 0.6802839636802673,
+        "edit_similarity": 0.3354838709677419,
+        "temperature": 1.2
+      }
+    },
+    {
+      "query": "cluster",
+      "class": "DETERMINISTIC",
+      "score": 0.507416856400603,
+      "metrics": {
+        "length_ratio": 0.3747044917257683,
+        "lexical_similarity": 0.301331377195062,
+        "semantic_similarity": 0.8356878161430359,
+        "edit_similarity": 0.2263593380614657,
+        "temperature": 0.0
+      }
+    },
+    {
+      "query": "turns",
+      "class": "CREATIVE",
+      "score": 1.0000000953674317,
+      "metrics": {
+        "length_ratio": 1.0,
+        "lexical_similarity": 1.0000000000000002,
+        "semantic_similarity": 1.000000238418579,
+        "edit_similarity": 1.0,
+        "temperature": 1.2
+      }
+    },
+    {
+      "query": "question_id",
+      "class": "FOCUSED",
+      "score": 0.5531874353198117,
+      "metrics": {
+        "length_ratio": 0.801980198019802,
+        "lexical_similarity": 0.47611431748067884,
+        "semantic_similarity": 0.6422194838523865,
+        "edit_similarity": 0.36633663366336633,
+        "temperature": 0.3
+      }
+    },
+    {
+      "query": "category",
+      "class": "CREATIVE",
+      "score": 0.5163368549914716,
+      "metrics": {
+        "length_ratio": 0.8582474226804123,
+        "lexical_similarity": 0.24240584402232226,
+        "semantic_similarity": 0.7553006410598755,
+        "edit_similarity": 0.27835051546391754,
+        "temperature": 1.2
+      }
+    },
+    {
+      "query": "cluster",
+      "class": "CREATIVE",
+      "score": 0.5180120754151879,
+      "metrics": {
+        "length_ratio": 0.8811881188118812,
+        "lexical_similarity": 0.13669311239264037,
+        "semantic_similarity": 0.850101113319397,
+        "edit_similarity": 0.24422442244224418,
+        "temperature": 1.2
+      }
+    },
+    {
+      "query": "turns",
+      "class": "DETERMINISTIC",
+      "score": 0.6893734856060194,
+      "metrics": {
+        "length_ratio": 1.0,
+        "lexical_similarity": 0.7897746636343571,
+        "semantic_similarity": 0.40042638778686523,
+        "edit_similarity": 0.961352657004831,
+        "temperature": 0.0
+      }
+    },
+    {
+      "query": "category",
+      "class": "FOCUSED",
+      "score": 0.5000619701241261,
+      "metrics": {
+        "length_ratio": 0.7465181058495822,
+        "lexical_similarity": 0.31199146519725923,
+        "semantic_similarity": 0.6818994879722595,
+        "edit_similarity": 0.29526462395543174,
+        "temperature": 0.3
+      }
+    },
+    {
+      "query": "cluster",
+      "class": "EXPERIMENTAL",
+      "score": 0.5552482732867053,
+      "metrics": {
+        "length_ratio": 0.8246913580246914,
+        "lexical_similarity": 0.2228084433206434,
+        "semantic_similarity": 0.8308908939361572,
+        "edit_similarity": 0.36790123456790125,
+        "temperature": 1.7
+      }
+    },
+    {
+      "query": "turns",
+      "class": "EXPERIMENTAL",
+      "score": 0.6073957883513064,
+      "metrics": {
+        "length_ratio": 0.9530516431924883,
+        "lexical_similarity": 0.5703951097379938,
+        "semantic_similarity": 0.4721485376358032,
+        "edit_similarity": 0.7605633802816901,
+        "temperature": 1.7
+      }
+    },
+    {
+      "query": "category",
+      "class": "DETERMINISTIC",
+      "score": 0.523848213498801,
+      "metrics": {
+        "length_ratio": 0.8622754491017964,
+        "lexical_similarity": 0.21344075928303588,
+        "semantic_similarity": 0.7498393654823303,
+        "edit_similarity": 0.3682634730538922,
+        "temperature": 0.0
+      }
+    },
+    {
+      "query": "cluster",
+      "class": "BALANCED",
+      "score": 0.5473507469160761,
+      "metrics": {
+        "length_ratio": 0.4598698481561822,
+        "lexical_similarity": 0.5055592172190307,
+        "semantic_similarity": 0.7303498983383179,
+        "edit_similarity": 0.2877801879971077,
+        "temperature": 0.7
+      }
+    },
+    {
+      "query": "turns",
+      "class": "CREATIVE",
+      "score": 0.7409180865381191,
+      "metrics": {
+        "length_ratio": 1.0,
+        "lexical_similarity": 0.8586557982260813,
+        "semantic_similarity": 0.4699312746524811,
+        "edit_similarity": 0.9767441860465116,
+        "temperature": 1.3
+      }
+    },
+    {
+      "query": "question_id",
+      "class": "BALANCED",
+      "score": 0.6346650077503834,
+      "metrics": {
+        "length_ratio": 0.8114035087719298,
+        "lexical_similarity": 0.5925342185880069,
+        "semantic_similarity": 0.7223057150840759,
+        "edit_similarity": 0.4342105263157895,
+        "temperature": 0.8
+      }
+    },
+    {
+      "query": "cluster",
+      "class": "EXPERIMENTAL",
+      "score": 0.5473098181556688,
+      "metrics": {
+        "length_ratio": 0.6595022624434389,
+        "lexical_similarity": 0.3301623448564647,
+        "semantic_similarity": 0.818899393081665,
+        "edit_similarity": 0.2737556561085973,
+        "temperature": 1.7
+      }
+    },
+    {
+      "query": "turns",
+      "class": "FOCUSED",
+      "score": 0.6472330012068707,
+      "metrics": {
+        "length_ratio": 0.5611814345991561,
+        "lexical_similarity": 0.5616594987810037,
+        "semantic_similarity": 0.8476817607879639,
+        "edit_similarity": 0.4177215189873418,
+        "temperature": 0.3
+      }
+    },
+    {
+      "query": "question_id",
+      "class": "BALANCED",
+      "score": 0.7704320730483233,
+      "metrics": {
+        "length_ratio": 0.9840637450199203,
+        "lexical_similarity": 0.6944383154967662,
+        "semantic_similarity": 0.7429008483886719,
+        "edit_similarity": 0.8326693227091634,
+        "temperature": 0.8
+      }
+    },
+    {
+      "query": "category",
+      "class": "BALANCED",
+      "score": 0.5642707939078423,
+      "metrics": {
+        "length_ratio": 0.6076696165191741,
+        "lexical_similarity": 0.28396176485915525,
+        "semantic_similarity": 0.8997705578804016,
+        "edit_similarity": 0.2920353982300885,
+        "temperature": 0.8
+      }
+    },
+    {
+      "query": "cluster",
+      "class": "FOCUSED",
+      "score": 0.5676725385063526,
+      "metrics": {
+        "length_ratio": 0.9330065359477124,
+        "lexical_similarity": 0.29825943300118546,
+        "semantic_similarity": 0.8421370983123779,
+        "edit_similarity": 0.24019607843137258,
+        "temperature": 0.3
+      }
+    },
+    {
+      "query": "turns",
+      "class": "FOCUSED",
+      "score": 0.5854248245328422,
+      "metrics": {
+        "length_ratio": 0.9583333333333334,
+        "lexical_similarity": 0.33909949983813864,
+        "semantic_similarity": 0.6988207697868347,
+        "edit_similarity": 0.5416666666666667,
+        "temperature": 0.3
+      }
+    },
+    {
+      "query": "question_id",
+      "class": "FOCUSED",
+      "score": 0.5685254908119699,
+      "metrics": {
+        "length_ratio": 0.8674242424242424,
+        "lexical_similarity": 0.4045522026842792,
+        "semantic_similarity": 0.734376847743988,
+        "edit_similarity": 0.33333333333333337,
+        "temperature": 0.4
+      }
+    },
+    {
+      "query": "cluster",
+      "class": "EXPERIMENTAL",
+      "score": 0.552875753557625,
+      "metrics": {
+        "length_ratio": 0.8729050279329609,
+        "lexical_similarity": 0.30513278429723,
+        "semantic_similarity": 0.8117429614067078,
+        "edit_similarity": 0.24674115456238366,
+        "temperature": 1.8
+      }
+    },
+    {
+      "query": "question_id",
+      "class": "FOCUSED",
+      "score": 0.5611781129577468,
+      "metrics": {
+        "length_ratio": 0.6406926406926406,
+        "lexical_similarity": 0.5019510476924668,
+        "semantic_similarity": 0.6671746373176575,
+        "edit_similarity": 0.3982683982683982,
+        "temperature": 0.3
+      }
+    },
+    {
+      "query": "cluster",
+      "class": "CREATIVE",
+      "score": 0.7224970866881459,
+      "metrics": {
+        "length_ratio": 0.6258503401360545,
+        "lexical_similarity": 0.6569729210330907,
+        "semantic_similarity": 0.8441252708435059,
+        "edit_similarity": 0.6258503401360545,
+        "temperature": 1.2
+      }
+    },
+    {
+      "query": "question_id",
+      "class": "BALANCED",
+      "score": 0.5460465021876473,
+      "metrics": {
+        "length_ratio": 0.8487394957983193,
+        "lexical_similarity": 0.3461231511007876,
+        "semantic_similarity": 0.7238712310791016,
+        "edit_similarity": 0.3389355742296919,
+        "temperature": 0.8
+      }
+    },
+    {
+      "query": "category",
+      "class": "FOCUSED",
+      "score": 0.5079376874485216,
+      "metrics": {
+        "length_ratio": 0.6183431952662722,
+        "lexical_similarity": 0.24551835211784953,
+        "semantic_similarity": 0.7876285314559937,
+        "edit_similarity": 0.2869822485207101,
+        "temperature": 0.4
+      }
+    },
+    {
+      "query": "cluster",
+      "class": "BALANCED",
+      "score": 0.5793567530961306,
+      "metrics": {
+        "length_ratio": 0.6657754010695187,
+        "lexical_similarity": 0.3182222740213589,
+        "semantic_similarity": 0.8267037868499756,
+        "edit_similarity": 0.4331550802139037,
+        "temperature": 0.8
+      }
+    },
+    {
+      "query": "turns",
+      "class": "BALANCED",
+      "score": 0.5320830515112339,
+      "metrics": {
+        "length_ratio": 0.6481481481481481,
+        "lexical_similarity": 0.3300164047499031,
+        "semantic_similarity": 0.6868619918823242,
+        "edit_similarity": 0.46759259259259256,
+        "temperature": 0.8
+      }
+    },
+    {
+      "query": "question_id",
+      "class": "EXPERIMENTAL",
+      "score": 0.5254412255035392,
+      "metrics": {
+        "length_ratio": 0.6526315789473685,
+        "lexical_similarity": 0.24364099379841483,
+        "semantic_similarity": 0.7659600377082825,
+        "edit_similarity": 0.4035087719298246,
+        "temperature": 1.7
+      }
+    },
+    {
+      "query": "category",
+      "class": "DETERMINISTIC",
+      "score": 0.5391609058975763,
+      "metrics": {
+        "length_ratio": 0.7889655172413793,
+        "lexical_similarity": 0.20659100979895426,
+        "semantic_similarity": 0.8536486625671387,
+        "edit_similarity": 0.2841379310344827,
+        "temperature": 0.0
+      }
+    },
+    {
+      "query": "cluster",
+      "class": "EXPERIMENTAL",
+      "score": 0.5697406078735965,
+      "metrics": {
+        "length_ratio": 0.9483627204030227,
+        "lexical_similarity": 0.30812367002662294,
+        "semantic_similarity": 0.8384099006652832,
+        "edit_similarity": 0.23551637279596982,
+        "temperature": 1.7
+      }
+    },
+    {
+      "query": "question_id",
+      "class": "FOCUSED",
+      "score": 0.8170439700346853,
+      "metrics": {
+        "length_ratio": 0.9819819819819819,
+        "lexical_similarity": 0.8101609236092804,
+        "semantic_similarity": 0.754058301448822,
+        "edit_similarity": 0.8708708708708709,
+        "temperature": 0.4
+      }
+    },
+    {
+      "query": "category",
+      "class": "FOCUSED",
+      "score": 0.5198882191559855,
+      "metrics": {
+        "length_ratio": 0.69375,
+        "lexical_similarity": 0.23363338880445655,
+        "semantic_similarity": 0.7729330062866211,
+        "edit_similarity": 0.35624999999999996,
+        "temperature": 0.4
+      }
+    },
+    {
+      "query": "cluster",
+      "class": "FOCUSED",
+      "score": 0.6809295414575811,
+      "metrics": {
+        "length_ratio": 0.8795180722891566,
+        "lexical_similarity": 0.5625127698011375,
+        "semantic_similarity": 0.7292344570159912,
+        "edit_similarity": 0.6626506024096386,
+        "temperature": 0.3
+      }
+    },
+    {
+      "query": "question_id",
+      "class": "FOCUSED",
+      "score": 0.5536584073750761,
+      "metrics": {
+        "length_ratio": 1.0,
+        "lexical_similarity": 0.3261085178531541,
+        "semantic_similarity": 0.7084500789642334,
+        "edit_similarity": 0.3622291021671826,
+        "temperature": 0.3
+      }
+    },
+    {
+      "query": "category",
+      "class": "BALANCED",
+      "score": 0.5457532005875528,
+      "metrics": {
+        "length_ratio": 0.9265175718849841,
+        "lexical_similarity": 0.2885086373659133,
+        "semantic_similarity": 0.793368935585022,
+        "edit_similarity": 0.2460063897763578,
+        "temperature": 0.7
+      }
+    },
+    {
+      "query": "cluster",
+      "class": "DETERMINISTIC",
+      "score": 0.5947143219521579,
+      "metrics": {
+        "length_ratio": 0.5622406639004149,
+        "lexical_similarity": 0.5082989475061449,
+        "semantic_similarity": 0.8125118017196655,
+        "edit_similarity": 0.3049792531120332,
+        "temperature": 0.1
+      }
+    },
+    {
+      "query": "turns",
+      "class": "FOCUSED",
+      "score": 0.5752309382064583,
+      "metrics": {
+        "length_ratio": 0.575,
+        "lexical_similarity": 0.46351208027980145,
+        "semantic_similarity": 0.7446099519729614,
+        "edit_similarity": 0.4041666666666667,
+        "temperature": 0.4
+      }
+    },
+    {
+      "query": "question_id",
+      "class": "DETERMINISTIC",
+      "score": 0.5237913322332083,
+      "metrics": {
+        "length_ratio": 0.7115384615384616,
+        "lexical_similarity": 0.34205502272130617,
+        "semantic_similarity": 0.6909865140914917,
+        "edit_similarity": 0.36813186813186816,
+        "temperature": 0.0
+      }
+    },
+    {
+      "query": "category",
+      "class": "DETERMINISTIC",
+      "score": 0.5258416393786987,
+      "metrics": {
+        "length_ratio": 0.8753709198813057,
+        "lexical_similarity": 0.17023214554823782,
+        "semantic_similarity": 0.8360397815704346,
+        "edit_similarity": 0.26409495548961426,
+        "temperature": 0.0
+      }
+    },
+    {
+      "query": "cluster",
+      "class": "CREATIVE",
+      "score": 0.5349654889573472,
+      "metrics": {
+        "length_ratio": 0.9057142857142857,
+        "lexical_similarity": 0.23670787168347257,
+        "semantic_similarity": 0.8020256757736206,
+        "edit_similarity": 0.2628571428571429,
+        "temperature": 1.2
+      }
+    },
+    {
+      "query": "question_id",
+      "class": "EXPERIMENTAL",
+      "score": 0.5861990257794015,
+      "metrics": {
+        "length_ratio": 0.9779411764705882,
+        "lexical_similarity": 0.3916629350225129,
+        "semantic_similarity": 0.6993238925933838,
+        "edit_similarity": 0.4558823529411765,
+        "temperature": 1.8
+      }
+    },
+    {
+      "query": "category",
+      "class": "BALANCED",
+      "score": 0.5190209364392966,
+      "metrics": {
+        "length_ratio": 0.9908814589665653,
+        "lexical_similarity": 0.18667128369020153,
+        "semantic_similarity": 0.7335367202758789,
+        "edit_similarity": 0.35258358662613987,
+        "temperature": 0.7
+      }
+    },
+    {
+      "query": "cluster",
+      "class": "FOCUSED",
+      "score": 0.5356409086606956,
+      "metrics": {
+        "length_ratio": 0.310546875,
+        "lexical_similarity": 0.4095572676334303,
+        "semantic_similarity": 0.8478522896766663,
+        "edit_similarity": 0.212890625,
+        "temperature": 0.3
+      }
+    },
+    {
+      "query": "turns",
+      "class": "DETERMINISTIC",
+      "score": 0.5215488165473686,
+      "metrics": {
+        "length_ratio": 0.6804511278195489,
+        "lexical_similarity": 0.30935591043688576,
+        "semantic_similarity": 0.7175318002700806,
+        "edit_similarity": 0.368421052631579,
+        "temperature": 0.0
+      }
+    },
+    {
+      "query": "question_id",
+      "class": "DETERMINISTIC",
+      "score": 0.8068153117697092,
+      "metrics": {
+        "length_ratio": 0.9941690962099126,
+        "lexical_similarity": 0.7680744500850911,
+        "semantic_similarity": 0.7667841911315918,
+        "edit_similarity": 0.8513119533527697,
+        "temperature": 0.1
+      }
+    },
+    {
+      "query": "category",
+      "class": "DETERMINISTIC",
+      "score": 0.5333573178192932,
+      "metrics": {
+        "length_ratio": 0.9090909090909091,
+        "lexical_similarity": 0.3003486782959778,
+        "semantic_similarity": 0.7126772403717041,
+        "edit_similarity": 0.3363636363636363,
+        "temperature": 0.0
+      }
+    },
+    {
+      "query": "turns",
+      "class": "FOCUSED",
+      "score": 0.6139562950913879,
+      "metrics": {
+        "length_ratio": 0.700507614213198,
+        "lexical_similarity": 0.4249567910193458,
+        "semantic_similarity": 0.787239134311676,
+        "edit_similarity": 0.5076142131979695,
+        "temperature": 0.3
+      }
+    },
+    {
+      "query": "question_id",
+      "class": "BALANCED",
+      "score": 0.6933591371164627,
+      "metrics": {
+        "length_ratio": 0.9107981220657277,
+        "lexical_similarity": 0.6224119796737976,
+        "semantic_similarity": 0.6656498908996582,
+        "edit_similarity": 0.7464788732394366,
+        "temperature": 0.8
+      }
+    },
+    {
+      "query": "category",
+      "class": "FOCUSED",
+      "score": 0.5173431497068425,
+      "metrics": {
+        "length_ratio": 0.9028571428571428,
+        "lexical_similarity": 0.21749269704773963,
+        "semantic_similarity": 0.7759526371955872,
+        "edit_similarity": 0.2571428571428571,
+        "temperature": 0.3
+      }
+    },
+    {
+      "query": "cluster",
+      "class": "FOCUSED",
+      "score": 0.5048039059888322,
+      "metrics": {
+        "length_ratio": 0.500402900886382,
+        "lexical_similarity": 0.2649353243744229,
+        "semantic_similarity": 0.8056531548500061,
+        "edit_similarity": 0.2651087832393231,
+        "temperature": 0.3
+      }
+    },
+    {
+      "query": "question_id",
+      "class": "EXPERIMENTAL",
+      "score": 0.5275916673134795,
+      "metrics": {
+        "length_ratio": 0.6353790613718412,
+        "lexical_similarity": 0.24312316536630288,
+        "semantic_similarity": 0.8117270469665527,
+        "edit_similarity": 0.3321299638989169,
+        "temperature": 1.7
+      }
+    },
+    {
+      "query": "question_id",
+      "class": "CREATIVE",
+      "score": 0.6813798547883618,
+      "metrics": {
+        "length_ratio": 0.896969696969697,
+        "lexical_similarity": 0.5762926228148066,
+        "semantic_similarity": 0.7621392607688904,
+        "edit_similarity": 0.5696969696969697,
+        "temperature": 1.2
+      }
+    },
+    {
+      "query": "turns",
+      "class": "FOCUSED",
+      "score": 0.6207772834380589,
+      "metrics": {
+        "length_ratio": 0.5679012345679012,
+        "lexical_similarity": 0.475219880135175,
+        "semantic_similarity": 0.8457340598106384,
+        "edit_similarity": 0.4156378600823045,
+        "temperature": 0.3
+      }
+    },
+    {
+      "query": "question_id",
+      "class": "BALANCED",
+      "score": 0.8167931763209323,
+      "metrics": {
+        "length_ratio": 0.9968051118210862,
+        "lexical_similarity": 0.8078540514342706,
+        "semantic_similarity": 0.7571786642074585,
+        "edit_similarity": 0.8594249201277955,
+        "temperature": 0.7
+      }
+    },
+    {
+      "query": "cluster",
+      "class": "DETERMINISTIC",
+      "score": 0.5331286055199902,
+      "metrics": {
+        "length_ratio": 0.32067757009345793,
+        "lexical_similarity": 0.42729255464752974,
+        "semantic_similarity": 0.8191570043563843,
+        "edit_similarity": 0.22605140186915884,
+        "temperature": 0.1
+      }
+    },
+    {
+      "query": "question_id",
+      "class": "BALANCED",
+      "score": 0.8536023277537563,
+      "metrics": {
+        "length_ratio": 0.9771863117870723,
+        "lexical_similarity": 0.8864465375572474,
+        "semantic_similarity": 0.7666994333267212,
+        "edit_similarity": 0.9163498098859315,
+        "temperature": 0.8
+      }
+    },
+    {
+      "query": "cluster",
+      "class": "EXPERIMENTAL",
+      "score": 0.538234022502962,
+      "metrics": {
+        "length_ratio": 0.41005802707930367,
+        "lexical_similarity": 0.39604484856624644,
+        "semantic_similarity": 0.8106403946876526,
+        "edit_similarity": 0.2707930367504836,
+        "temperature": 1.8
+      }
+    },
+    {
+      "query": "turns",
+      "class": "FOCUSED",
+      "score": 0.6215812167076412,
+      "metrics": {
+        "length_ratio": 0.5362903225806451,
+        "lexical_similarity": 0.475219880135175,
+        "semantic_similarity": 0.8598365187644958,
+        "edit_similarity": 0.407258064516129,
+        "temperature": 0.4
+      }
+    },
+    {
+      "query": "question_id",
+      "class": "BALANCED",
+      "score": 0.6408429088078399,
+      "metrics": {
+        "length_ratio": 0.916083916083916,
+        "lexical_similarity": 0.554855691453867,
+        "semantic_similarity": 0.6982032656669617,
+        "edit_similarity": 0.5174825174825175,
+        "temperature": 0.8
+      }
+    },
+    {
+      "query": "category",
+      "class": "CREATIVE",
+      "score": 0.5387562940423136,
+      "metrics": {
+        "length_ratio": 0.6532602071907374,
+        "lexical_similarity": 0.25922002166027225,
+        "semantic_similarity": 0.8401661515235901,
+        "edit_similarity": 0.29798903107861063,
+        "temperature": 1.3
+      }
+    },
+    {
+      "query": "cluster",
+      "class": "EXPERIMENTAL",
+      "score": 0.5757609390565281,
+      "metrics": {
+        "length_ratio": 0.6929577464788732,
+        "lexical_similarity": 0.4035054885620301,
+        "semantic_similarity": 0.8118906021118164,
+        "edit_similarity": 0.3032863849765258,
+        "temperature": 1.8
+      }
+    },
+    {
+      "query": "turns",
+      "class": "CREATIVE",
+      "score": 0.7546970765168111,
+      "metrics": {
+        "length_ratio": 0.9259259259259259,
+        "lexical_similarity": 0.4360379885513016,
+        "semantic_similarity": 0.9467512369155884,
+        "edit_similarity": 0.762962962962963,
+        "temperature": 1.3
+      }
+    },
+    {
+      "query": "question_id",
+      "class": "FOCUSED",
+      "score": 0.8148242918637354,
+      "metrics": {
+        "length_ratio": 0.9751552795031055,
+        "lexical_similarity": 0.8078540514342706,
+        "semantic_similarity": 0.752598762512207,
+        "edit_similarity": 0.8695652173913043,
+        "temperature": 0.4
+      }
+    },
+    {
+      "query": "question_id",
+      "class": "FOCUSED",
+      "score": 0.5859124172222347,
+      "metrics": {
+        "length_ratio": 0.9049429657794676,
+        "lexical_similarity": 0.3802985919560938,
+        "semantic_similarity": 0.757503867149353,
+        "edit_similarity": 0.3916349809885932,
+        "temperature": 0.4
+      }
+    },
+    {
+      "query": "cluster",
+      "class": "EXPERIMENTAL",
+      "score": 0.5838451813797222,
+      "metrics": {
+        "length_ratio": 0.6531881804043546,
+        "lexical_similarity": 0.398943617666008,
+        "semantic_similarity": 0.8376991748809814,
+        "edit_similarity": 0.3188180404354588,
+        "temperature": 1.7
+      }
+    },
+    {
+      "query": "turns",
+      "class": "CREATIVE",
+      "score": 1.0000000476837159,
+      "metrics": {
+        "length_ratio": 1.0,
+        "lexical_similarity": 1.0000000000000002,
+        "semantic_similarity": 1.0000001192092896,
+        "edit_similarity": 1.0,
+        "temperature": 1.2
+      }
+    },
+    {
+      "query": "question_id",
+      "class": "FOCUSED",
+      "score": 0.5729414878861636,
+      "metrics": {
+        "length_ratio": 0.7573770491803279,
+        "lexical_similarity": 0.3633602736272467,
+        "semantic_similarity": 0.7999974489212036,
+        "edit_similarity": 0.34098360655737703,
+        "temperature": 0.4
+      }
+    },
+    {
+      "query": "cluster",
+      "class": "FOCUSED",
+      "score": 0.5344518589992694,
+      "metrics": {
+        "length_ratio": 0.4128065395095368,
+        "lexical_similarity": 0.4043807788353465,
+        "semantic_similarity": 0.8070266246795654,
+        "edit_similarity": 0.24523160762942775,
+        "temperature": 0.3
+      }
+    },
+    {
+      "query": "turns",
+      "class": "EXPERIMENTAL",
+      "score": 0.5813738208042961,
+      "metrics": {
+        "length_ratio": 0.5823529411764706,
+        "lexical_similarity": 0.665633965268351,
+        "semantic_similarity": 0.517444372177124,
+        "edit_similarity": 0.5823529411764705,
+        "temperature": 1.8
+      }
+    },
+    {
+      "query": "question_id",
+      "class": "BALANCED",
+      "score": 0.6025651534162663,
+      "metrics": {
+        "length_ratio": 0.6844106463878327,
+        "lexical_similarity": 0.5356239968550757,
+        "semantic_similarity": 0.6636302471160889,
+        "edit_similarity": 0.5399239543726235,
+        "temperature": 0.7
+      }
+    },
+    {
+      "query": "cluster",
+      "class": "DETERMINISTIC",
+      "score": 0.5297198789141683,
+      "metrics": {
+        "length_ratio": 0.27067254685777287,
+        "lexical_similarity": 0.4602151728056274,
+        "semantic_similarity": 0.8116906881332397,
+        "edit_similarity": 0.19955898566703423,
+        "temperature": 0.1
+      }
+    },
+    {
+      "query": "turns",
+      "class": "BALANCED",
+      "score": 0.9561138295776923,
+      "metrics": {
+        "length_ratio": 1.0,
+        "lexical_similarity": 0.8831282039194523,
+        "semantic_similarity": 0.9956375360488892,
+        "edit_similarity": 0.9646017699115044,
+        "temperature": 0.8
+      }
+    },
+    {
+      "query": "question_id",
+      "class": "FOCUSED",
+      "score": 0.5373877247910533,
+      "metrics": {
+        "length_ratio": 0.9154518950437318,
+        "lexical_similarity": 0.2920508440062439,
+        "semantic_similarity": 0.7250142693519592,
+        "edit_similarity": 0.3411078717201166,
+        "temperature": 0.3
+      }
+    },
+    {
+      "query": "question_id",
+      "class": "EXPERIMENTAL",
+      "score": 0.9229777393266426,
+      "metrics": {
+        "length_ratio": 0.98,
+        "lexical_similarity": 0.8350499057520979,
+        "semantic_similarity": 0.946156919002533,
+        "edit_similarity": 0.98,
+        "temperature": 1.7
+      }
+    },
+    {
+      "query": "category",
+      "class": "DETERMINISTIC",
+      "score": 0.5056738816615669,
+      "metrics": {
+        "length_ratio": 0.3724053724053724,
+        "lexical_similarity": 0.24908996700156968,
+        "semantic_similarity": 0.8667445182800293,
+        "edit_similarity": 0.2350427350427351,
+        "temperature": 0.0
+      }
+    },
+    {
+      "query": "turns",
+      "class": "DETERMINISTIC",
+      "score": 0.6370463582475937,
+      "metrics": {
+        "length_ratio": 0.7296296296296296,
+        "lexical_similarity": 0.7474073540060465,
+        "semantic_similarity": 0.4848381578922272,
+        "edit_similarity": 0.7296296296296296,
+        "temperature": 0.1
+      }
+    },
+    {
+      "query": "question_id",
+      "class": "DETERMINISTIC",
+      "score": 0.5611781129577468,
+      "metrics": {
+        "length_ratio": 0.6406926406926406,
+        "lexical_similarity": 0.5019510476924668,
+        "semantic_similarity": 0.6671746373176575,
+        "edit_similarity": 0.3982683982683982,
+        "temperature": 0.1
+      }
+    },
+    {
+      "query": "category",
+      "class": "FOCUSED",
+      "score": 0.5459459829946574,
+      "metrics": {
+        "length_ratio": 0.5391120507399577,
+        "lexical_similarity": 0.2908893972021736,
+        "semantic_similarity": 0.870270848274231,
+        "edit_similarity": 0.2832980972515856,
+        "temperature": 0.3
+      }
+    },
+    {
+      "query": "cluster",
+      "class": "EXPERIMENTAL",
+      "score": 0.5370817186940561,
+      "metrics": {
+        "length_ratio": 0.84375,
+        "lexical_similarity": 0.4104070671759876,
+        "semantic_similarity": 0.5270864963531494,
+        "edit_similarity": 0.59375,
+        "temperature": 1.7
+      }
+    },
+    {
+      "query": "question_id",
+      "class": "DETERMINISTIC",
+      "score": 0.6881790143644791,
+      "metrics": {
+        "length_ratio": 0.99609375,
+        "lexical_similarity": 0.44722302171785994,
+        "semantic_similarity": 0.8430380821228027,
+        "edit_similarity": 0.5859375,
+        "temperature": 0.0
+      }
+    },
+    {
+      "query": "category",
+      "class": "CREATIVE",
+      "score": 0.5042492968708027,
+      "metrics": {
+        "length_ratio": 0.48225214198286415,
+        "lexical_similarity": 0.17684115989854762,
+        "semantic_similarity": 0.8703424334526062,
+        "edit_similarity": 0.27417380660954715,
+        "temperature": 1.3
+      }
+    },
+    {
+      "query": "cluster",
+      "class": "DETERMINISTIC",
+      "score": 0.5676724543868422,
+      "metrics": {
+        "length_ratio": 0.5431309904153354,
+        "lexical_similarity": 0.4260786425284071,
+        "semantic_similarity": 0.8142121434211731,
+        "edit_similarity": 0.29925452609158676,
+        "temperature": 0.1
+      }
+    },
+    {
+      "query": "question_id",
+      "class": "BALANCED",
+      "score": 0.7908418296983932,
+      "metrics": {
+        "length_ratio": 1.0,
+        "lexical_similarity": 0.8477624970048978,
+        "semantic_similarity": 0.6162827014923096,
+        "edit_similarity": 0.95,
+        "temperature": 0.8
+      }
+    },
+    {
+      "query": "turns",
+      "class": "FOCUSED",
+      "score": 0.6484507315886355,
+      "metrics": {
+        "length_ratio": 0.5473251028806584,
+        "lexical_similarity": 0.5616594987810037,
+        "semantic_similarity": 0.8572896122932434,
+        "edit_similarity": 0.411522633744856,
+        "temperature": 0.3
+      }
+    },
+    {
+      "query": "question_id",
+      "class": "FOCUSED",
+      "score": 0.553719602141392,
+      "metrics": {
+        "length_ratio": 0.9826839826839827,
+        "lexical_similarity": 0.49592168484020155,
+        "semantic_similarity": 0.6238296031951904,
+        "edit_similarity": 0.2857142857142857,
+        "temperature": 0.3
+      }
+    },
+    {
+      "query": "category",
+      "class": "DETERMINISTIC",
+      "score": 0.5254744776252097,
+      "metrics": {
+        "length_ratio": 0.7726027397260274,
+        "lexical_similarity": 0.2507623074620488,
+        "semantic_similarity": 0.7352035045623779,
+        "edit_similarity": 0.3945205479452055,
+        "temperature": 0.0
+      }
+    },
+    {
+      "query": "cluster",
+      "class": "FOCUSED",
+      "score": 0.6930136368091266,
+      "metrics": {
+        "length_ratio": 0.46403242147923,
+        "lexical_similarity": 0.6552104603934773,
+        "semantic_similarity": 0.8931019306182861,
+        "edit_similarity": 0.46403242147922996,
+        "temperature": 0.4
+      }
+    },
+    {
+      "query": "turns",
+      "class": "DETERMINISTIC",
+      "score": 0.8054334553604233,
+      "metrics": {
+        "length_ratio": 0.9629629629629629,
+        "lexical_similarity": 0.5479807587583923,
+        "semantic_similarity": 0.965561032295227,
+        "edit_similarity": 0.7925925925925926,
+        "temperature": 0.0
+      }
+    },
+    {
+      "query": "question_id",
+      "class": "FOCUSED",
+      "score": 0.6138832674562056,
+      "metrics": {
+        "length_ratio": 0.8657894736842106,
+        "lexical_similarity": 0.43311725584113886,
+        "semantic_similarity": 0.7578965425491333,
+        "edit_similarity": 0.4710526315789474,
+        "temperature": 0.3
+      }
+    },
+    {
+      "query": "cluster",
+      "class": "CREATIVE",
+      "score": 0.8443961480321354,
+      "metrics": {
+        "length_ratio": 0.9647577092511013,
+        "lexical_similarity": 0.8267283375553849,
+        "semantic_similarity": 0.7960101962089539,
+        "edit_similarity": 0.9074889867841409,
+        "temperature": 1.3
+      }
+    },
+    {
+      "query": "turns",
+      "class": "FOCUSED",
+      "score": 0.6240390188094836,
+      "metrics": {
+        "length_ratio": 0.9236111111111112,
+        "lexical_similarity": 0.4360379885513016,
+        "semantic_similarity": 0.703555166721344,
+        "edit_similarity": 0.5972222222222222,
+        "temperature": 0.4
+      }
+    },
+    {
+      "query": "question_id",
+      "class": "FOCUSED",
+      "score": 0.5481190718831978,
+      "metrics": {
+        "length_ratio": 0.8679867986798679,
+        "lexical_similarity": 0.42265576038901725,
+        "semantic_similarity": 0.6531408429145813,
+        "edit_similarity": 0.36633663366336633,
+        "temperature": 0.4
+      }
+    },
+    {
+      "query": "cluster",
+      "class": "CREATIVE",
+      "score": 0.5367013844787828,
+      "metrics": {
+        "length_ratio": 0.9719222462203023,
+        "lexical_similarity": 0.29984787577193645,
+        "semantic_similarity": 0.5823103189468384,
+        "edit_similarity": 0.5831533477321814,
+        "temperature": 1.2
+      }
+    },
+    {
+      "query": "turns",
+      "class": "CREATIVE",
+      "score": 0.5206981107108335,
+      "metrics": {
+        "length_ratio": 0.6524590163934426,
+        "lexical_similarity": 0.1622636081268278,
+        "semantic_similarity": 0.8808672428131104,
+        "edit_similarity": 0.27213114754098355,
+        "temperature": 1.3
+      }
+    },
+    {
+      "query": "question_id",
+      "class": "DETERMINISTIC",
+      "score": 0.770904132497262,
+      "metrics": {
+        "length_ratio": 0.9841897233201581,
+        "lexical_similarity": 0.6944383154967662,
+        "semantic_similarity": 0.7433881163597107,
+        "edit_similarity": 0.83399209486166,
+        "temperature": 0.0
+      }
+    },
+    {
+      "query": "category",
+      "class": "BALANCED",
+      "score": 0.5393240024932731,
+      "metrics": {
+        "length_ratio": 0.7133956386292835,
+        "lexical_similarity": 0.2576312279183494,
+        "semantic_similarity": 0.7882641553878784,
+        "edit_similarity": 0.3769470404984424,
+        "temperature": 0.8
+      }
+    },
+    {
+      "query": "cluster",
+      "class": "BALANCED",
+      "score": 0.5932495514404896,
+      "metrics": {
+        "length_ratio": 0.6694101508916324,
+        "lexical_similarity": 0.4589834612856866,
+        "semantic_similarity": 0.7225625514984131,
+        "edit_similarity": 0.4979423868312757,
+        "temperature": 0.7
+      }
+    },
+    {
+      "query": "question_id",
+      "class": "CREATIVE",
+      "score": 0.9395596550992524,
+      "metrics": {
+        "length_ratio": 0.98005698005698,
+        "lexical_similarity": 0.9435221326704754,
+        "semantic_similarity": 0.9104883074760437,
+        "edit_similarity": 0.9715099715099715,
+        "temperature": 1.2
+      }
+    },
+    {
+      "query": "category",
+      "class": "CREATIVE",
+      "score": 0.5731368806419836,
+      "metrics": {
+        "length_ratio": 0.9459459459459459,
+        "lexical_similarity": 0.2740473641553482,
+        "semantic_similarity": 0.8404823541641235,
+        "edit_similarity": 0.30067567567567566,
+        "temperature": 1.2
+      }
+    },
+    {
+      "query": "cluster",
+      "class": "EXPERIMENTAL",
+      "score": 0.5816322255084462,
+      "metrics": {
+        "length_ratio": 0.7906724511930586,
+        "lexical_similarity": 0.41249960046409045,
+        "semantic_similarity": 0.7865171432495117,
+        "edit_similarity": 0.32104121475054226,
+        "temperature": 1.8
+      }
+    },
+    {
+      "query": "turns",
+      "class": "BALANCED",
+      "score": 0.56798170695286,
+      "metrics": {
+        "length_ratio": 0.9688888888888889,
+        "lexical_similarity": 0.28341083743774215,
+        "semantic_similarity": 0.7807294726371765,
+        "edit_similarity": 0.36888888888888893,
+        "temperature": 0.7
+      }
+    },
+    {
+      "query": "question_id",
+      "class": "CREATIVE",
+      "score": 0.6142948549432031,
+      "metrics": {
+        "length_ratio": 0.7420814479638009,
+        "lexical_similarity": 0.5481202371021955,
+        "semantic_similarity": 0.6608460545539856,
+        "edit_similarity": 0.5565610859728507,
+        "temperature": 1.2
+      }
+    },
+    {
+      "query": "category",
+      "class": "BALANCED",
+      "score": 0.5395395296945198,
+      "metrics": {
+        "length_ratio": 0.5571847507331378,
+        "lexical_similarity": 0.30929812232896253,
+        "semantic_similarity": 0.8030922412872314,
+        "edit_similarity": 0.3489736070381232,
+        "temperature": 0.7
+      }
+    },
+    {
+      "query": "cluster",
+      "class": "CREATIVE",
+      "score": 0.5335579823540668,
+      "metrics": {
+        "length_ratio": 0.32878909382518046,
+        "lexical_similarity": 0.43733968596165973,
+        "semantic_similarity": 0.787766695022583,
+        "edit_similarity": 0.27185244587008817,
+        "temperature": 1.3
+      }
+    },
+    {
+      "query": "turns",
+      "class": "BALANCED",
+      "score": 0.5708048374801253,
+      "metrics": {
+        "length_ratio": 0.9928057553956835,
+        "lexical_similarity": 0.2696966599826407,
+        "semantic_similarity": 0.7103511095046997,
+        "edit_similarity": 0.5323741007194245,
+        "temperature": 0.7
+      }
+    },
+    {
+      "query": "question_id",
+      "class": "FOCUSED",
+      "score": 0.7349040322485519,
+      "metrics": {
+        "length_ratio": 0.9866666666666667,
+        "lexical_similarity": 0.627844890549101,
+        "semantic_similarity": 0.7280430793762207,
+        "edit_similarity": 0.7833333333333333,
+        "temperature": 0.3
+      }
+    },
+    {
+      "query": "category",
+      "class": "CREATIVE",
+      "score": 0.6705293282108461,
+      "metrics": {
+        "length_ratio": 0.9576719576719577,
+        "lexical_similarity": 0.669451740930363,
+        "semantic_similarity": 0.5009540915489197,
+        "edit_similarity": 0.8677248677248677,
+        "temperature": 1.3
+      }
+    },
+    {
+      "query": "turns",
+      "class": "EXPERIMENTAL",
+      "score": 0.6831980157279307,
+      "metrics": {
+        "length_ratio": 0.9939024390243902,
+        "lexical_similarity": 0.8159466395833364,
+        "semantic_similarity": 0.3810960352420807,
+        "edit_similarity": 0.9329268292682926,
+        "temperature": 1.7
+      }
+    },
+    {
+      "query": "question_id",
+      "class": "DETERMINISTIC",
+      "score": 0.5956107140057227,
+      "metrics": {
+        "length_ratio": 0.8201754385964912,
+        "lexical_similarity": 0.4978688977786999,
+        "semantic_similarity": 0.7175987958908081,
+        "edit_similarity": 0.38596491228070173,
+        "temperature": 0.0
+      }
+    },
+    {
+      "query": "question_id",
+      "class": "CREATIVE",
+      "score": 0.5169671525345476,
+      "metrics": {
+        "length_ratio": 0.9824046920821115,
+        "lexical_similarity": 0.272924646834343,
+        "semantic_similarity": 0.6412434577941895,
+        "edit_similarity": 0.40175953079178883,
+        "temperature": 1.2
+      }
+    },
+    {
+      "query": "question_id",
+      "class": "FOCUSED",
+      "score": 0.7703744083886733,
+      "metrics": {
+        "length_ratio": 0.9841269841269841,
+        "lexical_similarity": 0.6944383154967662,
+        "semantic_similarity": 0.7424088716506958,
+        "edit_similarity": 0.8333333333333334,
+        "temperature": 0.4
+      }
+    },
+    {
+      "query": "cluster",
+      "class": "FOCUSED",
+      "score": 0.5041273089350142,
+      "metrics": {
+        "length_ratio": 0.2034383954154728,
+        "lexical_similarity": 0.46267230723171254,
+        "semantic_similarity": 0.7831206321716309,
+        "edit_similarity": 0.1586676217765043,
+        "temperature": 0.3
+      }
+    },
+    {
+      "query": "turns",
+      "class": "DETERMINISTIC",
+      "score": 0.5854248245328422,
+      "metrics": {
+        "length_ratio": 0.9583333333333334,
+        "lexical_similarity": 0.33909949983813864,
+        "semantic_similarity": 0.6988207697868347,
+        "edit_similarity": 0.5416666666666667,
+        "temperature": 0.1
+      }
+    },
+    {
+      "query": "question_id",
+      "class": "FOCUSED",
+      "score": 0.6125082494442676,
+      "metrics": {
+        "length_ratio": 0.8354838709677419,
+        "lexical_similarity": 0.3211411758389465,
+        "semantic_similarity": 0.8621889352798462,
+        "edit_similarity": 0.43870967741935485,
+        "temperature": 0.4
+      }
+    },
+    {
+      "query": "turns",
+      "class": "DETERMINISTIC",
+      "score": 0.7067602137200726,
+      "metrics": {
+        "length_ratio": 0.9927536231884058,
+        "lexical_similarity": 0.8350499057520979,
+        "semantic_similarity": 0.4069174528121948,
+        "edit_similarity": 0.9710144927536232,
+        "temperature": 0.0
+      }
+    },
+    {
+      "query": "question_id",
+      "class": "EXPERIMENTAL",
+      "score": 0.9035062295432921,
+      "metrics": {
+        "length_ratio": 0.9509803921568627,
+        "lexical_similarity": 0.9058259409629561,
+        "semantic_similarity": 0.8808667063713074,
+        "edit_similarity": 0.9215686274509804,
+        "temperature": 1.8
+      }
+    },
+    {
+      "query": "cluster",
+      "class": "EXPERIMENTAL",
+      "score": 0.6066876482054538,
+      "metrics": {
+        "length_ratio": 0.6310788149804359,
+        "lexical_similarity": 0.4498650661135441,
+        "semantic_similarity": 0.8815282583236694,
+        "edit_similarity": 0.2800447177193963,
+        "temperature": 1.8
+      }
+    },
+    {
+      "query": "question_id",
+      "class": "FOCUSED",
+      "score": 0.6515042364530196,
+      "metrics": {
+        "length_ratio": 0.8398268398268398,
+        "lexical_similarity": 0.5165397084240838,
+        "semantic_similarity": 0.778152346611023,
+        "edit_similarity": 0.5064935064935066,
+        "temperature": 0.4
+      }
+    },
+    {
+      "query": "category",
+      "class": "BALANCED",
+      "score": 0.5624805000932915,
+      "metrics": {
+        "length_ratio": 0.9077809798270894,
+        "lexical_similarity": 0.20922317944104943,
+        "semantic_similarity": 0.8465461134910583,
+        "edit_similarity": 0.35158501440922185,
+        "temperature": 0.8
+      }
+    },
+    {
+      "query": "cluster",
+      "class": "BALANCED",
+      "score": 0.503495330633351,
+      "metrics": {
+        "length_ratio": 0.7687954729183508,
+        "lexical_similarity": 0.29254316740146796,
+        "semantic_similarity": 0.6886842250823975,
+        "edit_similarity": 0.31689571544058204,
+        "temperature": 0.7
+      }
+    },
+    {
+      "query": "question_id",
+      "class": "EXPERIMENTAL",
+      "score": 0.5435835774376917,
+      "metrics": {
+        "length_ratio": 0.7858823529411765,
+        "lexical_similarity": 0.4106407623702752,
+        "semantic_similarity": 0.6956842541694641,
+        "edit_similarity": 0.3176470588235294,
+        "temperature": 1.8
+      }
+    },
+    {
+      "query": "cluster",
+      "class": "FOCUSED",
+      "score": 0.5480389564042549,
+      "metrics": {
+        "length_ratio": 0.27064732142857145,
+        "lexical_similarity": 0.48314075345259005,
+        "semantic_similarity": 0.8401916027069092,
+        "edit_similarity": 0.1997767857142857,
+        "temperature": 0.3
+      }
+    },
+    {
+      "query": "turns",
+      "class": "DETERMINISTIC",
+      "score": 0.6291379290878119,
+      "metrics": {
+        "length_ratio": 0.9063545150501672,
+        "lexical_similarity": 0.6040497976399131,
+        "semantic_similarity": 0.4484027922153473,
+        "edit_similarity": 0.8896321070234113,
+        "temperature": 0.0
+      }
+    },
+    {
+      "query": "question_id",
+      "class": "DETERMINISTIC",
+      "score": 0.770904132497262,
+      "metrics": {
+        "length_ratio": 0.9841897233201581,
+        "lexical_similarity": 0.6944383154967662,
+        "semantic_similarity": 0.7433881163597107,
+        "edit_similarity": 0.83399209486166,
+        "temperature": 0.0
+      }
+    },
+    {
+      "query": "cluster",
+      "class": "BALANCED",
+      "score": 0.5520666456940141,
+      "metrics": {
+        "length_ratio": 0.8507853403141361,
+        "lexical_similarity": 0.4183020541700741,
+        "semantic_similarity": 0.6979845762252808,
+        "edit_similarity": 0.31151832460732987,
+        "temperature": 0.7
+      }
+    },
+    {
+      "query": "turns",
+      "class": "EXPERIMENTAL",
+      "score": 0.5814418817318798,
+      "metrics": {
+        "length_ratio": 0.569620253164557,
+        "lexical_similarity": 0.3517770668115141,
+        "semantic_similarity": 0.8131896257400513,
+        "edit_similarity": 0.4683544303797469,
+        "temperature": 1.8
+      }
+    },
+    {
+      "query": "question_id",
+      "class": "CREATIVE",
+      "score": 0.6892168691178866,
+      "metrics": {
+        "length_ratio": 0.9811320754716981,
+        "lexical_similarity": 0.5253253907296236,
+        "semantic_similarity": 0.6427273750305176,
+        "edit_similarity": 0.8820754716981132,
+        "temperature": 1.2
+      }
+    },
+    {
+      "query": "cluster",
+      "class": "BALANCED",
+      "score": 0.5402087356060471,
+      "metrics": {
+        "length_ratio": 0.5712954333643989,
+        "lexical_similarity": 0.3594815262286586,
+        "semantic_similarity": 0.7940980195999146,
+        "edit_similarity": 0.28797763280521904,
+        "temperature": 0.7
+      }
+    },
+    {
+      "query": "question_id",
+      "class": "DETERMINISTIC",
+      "score": 0.852947878313316,
+      "metrics": {
+        "length_ratio": 0.9839743589743589,
+        "lexical_similarity": 0.808471188876183,
+        "semantic_similarity": 0.8409201502799988,
+        "edit_similarity": 0.8782051282051282,
+        "temperature": 0.0
+      }
+    },
+    {
+      "query": "cluster",
+      "class": "CREATIVE",
+      "score": 0.5947800217456819,
+      "metrics": {
+        "length_ratio": 0.6117755289788408,
+        "lexical_similarity": 0.44198857012100384,
+        "semantic_similarity": 0.8640602827072144,
+        "edit_similarity": 0.2769089236430543,
+        "temperature": 1.2
+      }
+    },
+    {
+      "query": "question_id",
+      "class": "CREATIVE",
+      "score": 0.8328377872373474,
+      "metrics": {
+        "length_ratio": 0.9545454545454546,
+        "lexical_similarity": 0.7033416873210149,
+        "semantic_similarity": 0.880001425743103,
+        "edit_similarity": 0.871900826446281,
+        "temperature": 1.3
+      }
+    },
+    {
+      "query": "question_id",
+      "class": "FOCUSED",
+      "score": 0.5603838753679914,
+      "metrics": {
+        "length_ratio": 0.9702970297029703,
+        "lexical_similarity": 0.38893324100647236,
+        "semantic_similarity": 0.6983686685562134,
+        "edit_similarity": 0.3366336633663366,
+        "temperature": 0.3
+      }
+    },
+    {
+      "query": "category",
+      "class": "FOCUSED",
+      "score": 0.5047733330191944,
+      "metrics": {
+        "length_ratio": 0.8171206225680934,
+        "lexical_similarity": 0.17858934004286645,
+        "semantic_similarity": 0.7758512496948242,
+        "edit_similarity": 0.2957198443579766,
+        "temperature": 0.4
+      }
+    },
+    {
+      "query": "cluster",
+      "class": "FOCUSED",
+      "score": 0.501314975443305,
+      "metrics": {
+        "length_ratio": 0.3218243819266837,
+        "lexical_similarity": 0.3343274737878292,
+        "semantic_similarity": 0.817865788936615,
+        "edit_similarity": 0.2084398976982097,
+        "temperature": 0.3
+      }
+    },
+    {
+      "query": "turns",
+      "class": "FOCUSED",
+      "score": 0.5991444670645811,
+      "metrics": {
+        "length_ratio": 0.5678571428571428,
+        "lexical_similarity": 0.6182528363531983,
+        "semantic_similarity": 0.6261358261108398,
+        "edit_similarity": 0.5321428571428571,
+        "temperature": 0.4
+      }
+    },
+    {
+      "query": "question_id",
+      "class": "FOCUSED",
+      "score": 0.7369261544800375,
+      "metrics": {
+        "length_ratio": 0.9676113360323887,
+        "lexical_similarity": 0.6016628440019703,
+        "semantic_similarity": 0.7706229090690613,
+        "edit_similarity": 0.757085020242915,
+        "temperature": 0.4
+      }
+    },
+    {
+      "query": "category",
+      "class": "DETERMINISTIC",
+      "score": 0.5220321089272155,
+      "metrics": {
+        "length_ratio": 0.9262295081967213,
+        "lexical_similarity": 0.21614630476868057,
+        "semantic_similarity": 0.7666044235229492,
+        "edit_similarity": 0.2896174863387978,
+        "temperature": 0.1
+      }
+    },
+    {
+      "query": "turns",
+      "class": "BALANCED",
+      "score": 0.7194693789302946,
+      "metrics": {
+        "length_ratio": 0.9022556390977443,
+        "lexical_similarity": 0.5883635900492964,
+        "semantic_similarity": 0.7220624089241028,
+        "edit_similarity": 0.8195488721804511,
+        "temperature": 0.7
+      }
+    },
+    {
+      "query": "question_id",
+      "class": "FOCUSED",
+      "score": 0.695486116374804,
+      "metrics": {
+        "length_ratio": 0.935064935064935,
+        "lexical_similarity": 0.5803726705692052,
+        "semantic_similarity": 0.8185873031616211,
+        "edit_similarity": 0.5021645021645021,
+        "temperature": 0.4
+      }
+    },
+    {
+      "query": "cluster",
+      "class": "FOCUSED",
+      "score": 0.5078295056438994,
+      "metrics": {
+        "length_ratio": 0.3940714908456844,
+        "lexical_similarity": 0.2715086161523832,
+        "semantic_similarity": 0.8479824066162109,
+        "edit_similarity": 0.2388840453356582,
+        "temperature": 0.3
+      }
+    },
+    {
+      "query": "turns",
+      "class": "FOCUSED",
+      "score": 0.5650051645065203,
+      "metrics": {
+        "length_ratio": 0.9205020920502092,
+        "lexical_similarity": 0.31786803068966735,
+        "semantic_similarity": 0.766162097454071,
+        "edit_similarity": 0.35564853556485354,
+        "temperature": 0.3
+      }
+    },
+    {
+      "query": "question_id",
+      "class": "EXPERIMENTAL",
+      "score": 0.6320523578970448,
+      "metrics": {
+        "length_ratio": 0.9159663865546218,
+        "lexical_similarity": 0.310324018539192,
+        "semantic_similarity": 0.8347828388214111,
+        "edit_similarity": 0.5672268907563025,
+        "temperature": 1.8
+      }
+    },
+    {
+      "query": "question_id",
+      "class": "BALANCED",
+      "score": 0.6197363027799445,
+      "metrics": {
+        "length_ratio": 0.9013698630136986,
+        "lexical_similarity": 0.4516752711141998,
+        "semantic_similarity": 0.777022659778595,
+        "edit_similarity": 0.4164383561643835,
+        "temperature": 0.7
+      }
+    },
+    {
+      "query": "cluster",
+      "class": "FOCUSED",
+      "score": 0.5110907560906783,
+      "metrics": {
+        "length_ratio": 0.43961708394698085,
+        "lexical_similarity": 0.33660296568474024,
+        "semantic_similarity": 0.7876089811325073,
+        "edit_similarity": 0.2555228276877761,
+        "temperature": 0.3
+      }
+    },
+    {
+      "query": "turns",
+      "class": "CREATIVE",
+      "score": 0.6481252221759308,
+      "metrics": {
+        "length_ratio": 0.8344827586206897,
+        "lexical_similarity": 0.6787551892030776,
+        "semantic_similarity": 0.5060742497444153,
+        "edit_similarity": 0.7931034482758621,
+        "temperature": 1.2
+      }
+    },
+    {
+      "query": "question_id",
+      "class": "EXPERIMENTAL",
+      "score": 0.9223218215246778,
+      "metrics": {
+        "length_ratio": 0.9864253393665159,
+        "lexical_similarity": 0.9140237818768355,
+        "semantic_similarity": 0.8804677128791809,
+        "edit_similarity": 0.9864253393665159,
+        "temperature": 1.8
+      }
+    },
+    {
+      "query": "category",
+      "class": "DETERMINISTIC",
+      "score": 0.5407459261871199,
+      "metrics": {
+        "length_ratio": 0.64,
+        "lexical_similarity": 0.22985213887840916,
+        "semantic_similarity": 0.8040910959243774,
+        "edit_similarity": 0.4307692307692308,
+        "temperature": 0.0
+      }
+    },
+    {
+      "query": "cluster",
+      "class": "CREATIVE",
+      "score": 0.506920522895737,
+      "metrics": {
+        "length_ratio": 0.3027698185291309,
+        "lexical_similarity": 0.31147517984612066,
+        "semantic_similarity": 0.8519852757453918,
+        "edit_similarity": 0.21203438395415475,
+        "temperature": 1.2
+      }
+    },
+    {
+      "query": "turns",
+      "class": "EXPERIMENTAL",
+      "score": 0.7970980933523004,
+      "metrics": {
+        "length_ratio": 0.9947368421052631,
+        "lexical_similarity": 0.9276773404848623,
+        "semantic_similarity": 0.5614609122276306,
+        "edit_similarity": 0.9736842105263158,
+        "temperature": 1.7
+      }
+    },
+    {
+      "query": "question_id",
+      "class": "DETERMINISTIC",
+      "score": 0.781428989697795,
+      "metrics": {
+        "length_ratio": 0.9761904761904762,
+        "lexical_similarity": 0.6944383154967662,
+        "semantic_similarity": 0.7740135788917542,
+        "edit_similarity": 0.8293650793650793,
+        "temperature": 0.0
+      }
+    },
+    {
+      "query": "cluster",
+      "class": "CREATIVE",
+      "score": 0.5971482502719649,
+      "metrics": {
+        "length_ratio": 0.6076307112576542,
+        "lexical_similarity": 0.4753785980373215,
+        "semantic_similarity": 0.8419419527053833,
+        "edit_similarity": 0.2849740932642487,
+        "temperature": 1.2
+      }
+    },
+    {
+      "query": "turns",
+      "class": "BALANCED",
+      "score": 0.61454458280765,
+      "metrics": {
+        "length_ratio": 0.9140271493212669,
+        "lexical_similarity": 0.40278201228536314,
+        "semantic_similarity": 0.8315600156784058,
+        "edit_similarity": 0.34841628959276016,
+        "temperature": 0.8
+      }
+    },
+    {
+      "query": "question_id",
+      "class": "BALANCED",
+      "score": 0.59680806962968,
+      "metrics": {
+        "length_ratio": 0.8733333333333333,
+        "lexical_similarity": 0.49901868741780814,
+        "semantic_similarity": 0.7110894918441772,
+        "edit_similarity": 0.3766666666666667,
+        "temperature": 0.8
+      }
+    },
+    {
+      "query": "cluster",
+      "class": "EXPERIMENTAL",
+      "score": 0.5960934452256488,
+      "metrics": {
+        "length_ratio": 0.9864300626304802,
+        "lexical_similarity": 0.3625435900281708,
+        "semantic_similarity": 0.8417601585388184,
+        "edit_similarity": 0.2599164926931107,
+        "temperature": 1.7
+      }
+    },
+    {
+      "query": "turns",
+      "class": "BALANCED",
+      "score": 0.6302645537919018,
+      "metrics": {
+        "length_ratio": 0.8926174496644296,
+        "lexical_similarity": 0.4360379885513016,
+        "semantic_similarity": 0.7201094031333923,
+        "edit_similarity": 0.610738255033557,
+        "temperature": 0.7
+      }
+    },
+    {
+      "query": "question_id",
+      "class": "EXPERIMENTAL",
+      "score": 0.8082603649512267,
+      "metrics": {
+        "length_ratio": 0.995260663507109,
+        "lexical_similarity": 0.8223576901670815,
+        "semantic_similarity": 0.6953518390655518,
+        "edit_similarity": 0.919431279620853,
+        "temperature": 1.8
+      }
+    },
+    {
+      "query": "cluster",
+      "class": "CREATIVE",
+      "score": 0.5063777721054182,
+      "metrics": {
+        "length_ratio": 0.6348747591522158,
+        "lexical_similarity": 0.3107620651665695,
+        "semantic_similarity": 0.7291638255119324,
+        "edit_similarity": 0.28998073217726394,
+        "temperature": 1.2
+      }
+    },
+    {
+      "query": "question_id",
+      "class": "EXPERIMENTAL",
+      "score": 0.8348449807039744,
+      "metrics": {
+        "length_ratio": 0.98,
+        "lexical_similarity": 0.8705608913209194,
+        "semantic_similarity": 0.7258584499359131,
+        "edit_similarity": 0.9266666666666666,
+        "temperature": 1.8
+      }
+    },
+    {
+      "query": "cluster",
+      "class": "CREATIVE",
+      "score": 0.5849923911342724,
+      "metrics": {
+        "length_ratio": 0.7555555555555555,
+        "lexical_similarity": 0.43481806521972516,
+        "semantic_similarity": 0.7593303918838501,
+        "edit_similarity": 0.37629629629629635,
+        "temperature": 1.2
+      }
+    },
+    {
+      "query": "question_id",
+      "class": "BALANCED",
+      "score": 0.9349136346606913,
+      "metrics": {
+        "length_ratio": 0.9691780821917808,
+        "lexical_similarity": 0.9382232478586721,
+        "semantic_similarity": 0.908445417881012,
+        "edit_similarity": 0.9657534246575342,
+        "temperature": 0.7
+      }
+    },
+    {
+      "query": "category",
+      "class": "FOCUSED",
+      "score": 0.5011438834267685,
+      "metrics": {
+        "length_ratio": 0.41519434628975266,
+        "lexical_similarity": 0.26014477523554713,
+        "semantic_similarity": 0.8342528939247131,
+        "edit_similarity": 0.23939929328621912,
+        "temperature": 0.3
+      }
+    },
+    {
+      "query": "turns",
+      "class": "CREATIVE",
+      "score": 0.5147325430311148,
+      "metrics": {
+        "length_ratio": 0.807909604519774,
+        "lexical_similarity": 0.33858012460408293,
+        "semantic_similarity": 0.6049301624298096,
+        "edit_similarity": 0.45197740112994356,
+        "temperature": 1.2
+      }
+    },
+    {
+      "query": "question_id",
+      "class": "FOCUSED",
+      "score": 0.5603838753679914,
+      "metrics": {
+        "length_ratio": 0.9702970297029703,
+        "lexical_similarity": 0.38893324100647236,
+        "semantic_similarity": 0.6983686685562134,
+        "edit_similarity": 0.3366336633663366,
+        "temperature": 0.4
+      }
+    },
+    {
+      "query": "category",
+      "class": "FOCUSED",
+      "score": 0.5185230103126013,
+      "metrics": {
+        "length_ratio": 0.7627118644067796,
+        "lexical_similarity": 0.24190242343886448,
+        "semantic_similarity": 0.7820181846618652,
+        "edit_similarity": 0.2843691148775894,
+        "temperature": 0.3
+      }
+    },
+    {
+      "query": "cluster",
+      "class": "EXPERIMENTAL",
+      "score": 0.5498823417708697,
+      "metrics": {
+        "length_ratio": 0.9830028328611898,
+        "lexical_similarity": 0.35474759634871833,
+        "semantic_similarity": 0.5328661203384399,
+        "edit_similarity": 0.660056657223796,
+        "temperature": 1.8
+      }
+    },
+    {
+      "query": "turns",
+      "class": "EXPERIMENTAL",
+      "score": 0.60552276117369,
+      "metrics": {
+        "length_ratio": 0.5375586854460094,
+        "lexical_similarity": 0.5914017167898582,
+        "semantic_similarity": 0.6670866012573242,
+        "edit_similarity": 0.5375586854460094,
+        "temperature": 1.7
+      }
+    },
+    {
+      "query": "question_id",
+      "class": "FOCUSED",
+      "score": 0.5358426787269832,
+      "metrics": {
+        "length_ratio": 0.5492227979274611,
+        "lexical_similarity": 0.3565353841393432,
+        "semantic_similarity": 0.7548476457595825,
+        "edit_similarity": 0.36010362694300513,
+        "temperature": 0.4
+      }
+    },
+    {
+      "query": "category",
+      "class": "BALANCED",
+      "score": 0.6243992752918596,
+      "metrics": {
+        "length_ratio": 0.9646017699115044,
+        "lexical_similarity": 0.5803329846765685,
+        "semantic_similarity": 0.43327057361602783,
+        "edit_similarity": 0.9026548672566371,
+        "temperature": 0.7
+      }
+    },
+    {
+      "query": "cluster",
+      "class": "DETERMINISTIC",
+      "score": 0.5153162522191633,
+      "metrics": {
+        "length_ratio": 0.3603723404255319,
+        "lexical_similarity": 0.39111643891890396,
+        "semantic_similarity": 0.7871740460395813,
+        "edit_similarity": 0.2353723404255319,
+        "temperature": 0.1
+      }
+    },
+    {
+      "query": "turns",
+      "class": "CREATIVE",
+      "score": 1.0,
+      "metrics": {
+        "length_ratio": 1.0,
+        "lexical_similarity": 1.0000000000000002,
+        "semantic_similarity": 1.0,
+        "edit_similarity": 1.0,
+        "temperature": 1.2
+      }
+    },
+    {
+      "query": "question_id",
+      "class": "BALANCED",
+      "score": 0.770904132497262,
+      "metrics": {
+        "length_ratio": 0.9841897233201581,
+        "lexical_similarity": 0.6944383154967662,
+        "semantic_similarity": 0.7433881163597107,
+        "edit_similarity": 0.83399209486166,
+        "temperature": 0.7
+      }
+    },
+    {
+      "query": "cluster",
+      "class": "DETERMINISTIC",
+      "score": 0.6434938598865659,
+      "metrics": {
+        "length_ratio": 0.8284106891701828,
+        "lexical_similarity": 0.6046103200763123,
+        "semantic_similarity": 0.7090743780136108,
+        "edit_similarity": 0.4781997187060478,
+        "temperature": 0.0
+      }
+    },
+    {
+      "query": "question_id",
+      "class": "BALANCED",
+      "score": 0.7179007967352716,
+      "metrics": {
+        "length_ratio": 0.9932203389830508,
+        "lexical_similarity": 0.56212079185074,
+        "semantic_similarity": 0.7638393640518188,
+        "edit_similarity": 0.7220338983050847,
+        "temperature": 0.8
+      }
+    },
+    {
+      "query": "cluster",
+      "class": "CREATIVE",
+      "score": 0.5409928340899169,
+      "metrics": {
+        "length_ratio": 0.9605026929982047,
+        "lexical_similarity": 0.2529147834895312,
+        "semantic_similarity": 0.7808390855789185,
+        "edit_similarity": 0.2836624775583483,
+        "temperature": 1.3
+      }
+    },
+    {
+      "query": "turns",
+      "class": "BALANCED",
+      "score": 0.6392617786803655,
+      "metrics": {
+        "length_ratio": 0.6027874564459931,
+        "lexical_similarity": 0.6348087971775133,
+        "semantic_similarity": 0.6769258975982666,
+        "edit_similarity": 0.5888501742160279,
+        "temperature": 0.8
+      }
+    },
+    {
+      "query": "question_id",
+      "class": "CREATIVE",
+      "score": 0.5283810687499827,
+      "metrics": {
+        "length_ratio": 0.9444444444444444,
+        "lexical_similarity": 0.25586058972114367,
+        "semantic_similarity": 0.7369632124900818,
+        "edit_similarity": 0.31196581196581197,
+        "temperature": 1.3
+      }
+    },
+    {
+      "query": "turns",
+      "class": "BALANCED",
+      "score": 0.5101777368249687,
+      "metrics": {
+        "length_ratio": 0.5568627450980392,
+        "lexical_similarity": 0.2910691023819054,
+        "semantic_similarity": 0.7355738878250122,
+        "edit_similarity": 0.3647058823529412,
+        "temperature": 0.7
+      }
+    },
+    {
+      "query": "question_id",
+      "class": "EXPERIMENTAL",
+      "score": 0.866010106617652,
+      "metrics": {
+        "length_ratio": 0.9963503649635036,
+        "lexical_similarity": 0.8865178039130657,
+        "semantic_similarity": 0.7729471325874329,
+        "edit_similarity": 0.9562043795620438,
+        "temperature": 1.7
+      }
+    },
+    {
+      "query": "question_id",
+      "class": "FOCUSED",
+      "score": 0.781428989697795,
+      "metrics": {
+        "length_ratio": 0.9761904761904762,
+        "lexical_similarity": 0.6944383154967662,
+        "semantic_similarity": 0.7740135788917542,
+        "edit_similarity": 0.8293650793650793,
+        "temperature": 0.4
+      }
+    },
+    {
+      "query": "cluster",
+      "class": "EXPERIMENTAL",
+      "score": 0.7191677951431065,
+      "metrics": {
+        "length_ratio": 0.8832116788321168,
+        "lexical_similarity": 0.5859442534415849,
+        "semantic_similarity": 0.8119284510612488,
+        "edit_similarity": 0.6514598540145986,
+        "temperature": 1.7
+      }
+    },
+    {
+      "query": "turns",
+      "class": "CREATIVE",
+      "score": 0.6444897577231846,
+      "metrics": {
+        "length_ratio": 0.9857142857142858,
+        "lexical_similarity": 0.46598909712311054,
+        "semantic_similarity": 0.7510182857513428,
+        "edit_similarity": 0.5285714285714286,
+        "temperature": 1.2
+      }
+    },
+    {
+      "query": "question_id",
+      "class": "BALANCED",
+      "score": 0.5623336287660615,
+      "metrics": {
+        "length_ratio": 0.9941520467836257,
+        "lexical_similarity": 0.3360855975719415,
+        "semantic_similarity": 0.7414891719818115,
+        "edit_similarity": 0.32748538011695905,
+        "temperature": 0.7
+      }
+    },
+    {
+      "query": "category",
+      "class": "FOCUSED",
+      "score": 0.5403930541530441,
+      "metrics": {
+        "length_ratio": 0.9547038327526133,
+        "lexical_similarity": 0.3421924816191859,
+        "semantic_similarity": 0.6013069152832031,
+        "edit_similarity": 0.5087108013937283,
+        "temperature": 0.4
+      }
+    },
+    {
+      "query": "cluster",
+      "class": "CREATIVE",
+      "score": 0.5999915919495336,
+      "metrics": {
+        "length_ratio": 0.34200113058224985,
+        "lexical_similarity": 0.6164214105590102,
+        "semantic_similarity": 0.8388217687606812,
+        "edit_similarity": 0.22668174109666483,
+        "temperature": 1.3
+      }
+    },
+    {
+      "query": "turns",
+      "class": "FOCUSED",
+      "score": 0.9691502718652827,
+      "metrics": {
+        "length_ratio": 1.0,
+        "lexical_similarity": 0.9207401897413285,
+        "semantic_similarity": 0.9948991537094116,
+        "edit_similarity": 0.9748427672955975,
+        "temperature": 0.4
+      }
+    },
+    {
+      "query": "question_id",
+      "class": "DETERMINISTIC",
+      "score": 0.5632578864746445,
+      "metrics": {
+        "length_ratio": 0.967948717948718,
+        "lexical_similarity": 0.3329472815809851,
+        "semantic_similarity": 0.7529855370521545,
+        "edit_similarity": 0.32692307692307687,
+        "temperature": 0.0
+      }
+    },
+    {
+      "query": "category",
+      "class": "BALANCED",
+      "score": 0.5297098813980524,
+      "metrics": {
+        "length_ratio": 0.7876106194690266,
+        "lexical_similarity": 0.23157991565275024,
+        "semantic_similarity": 0.8176251649856567,
+        "edit_similarity": 0.27212389380530977,
+        "temperature": 0.7
+      }
+    },
+    {
+      "query": "cluster",
+      "class": "DETERMINISTIC",
+      "score": 0.5888932709978861,
+      "metrics": {
+        "length_ratio": 0.46527196652719666,
+        "lexical_similarity": 0.511702020685592,
+        "semantic_similarity": 0.8273687958717346,
+        "edit_similarity": 0.28953974895397494,
+        "temperature": 0.1
+      }
+    },
+    {
+      "query": "question_id",
+      "class": "BALANCED",
+      "score": 0.5503692833681637,
+      "metrics": {
+        "length_ratio": 0.8582089552238806,
+        "lexical_similarity": 0.40540168427057993,
+        "semantic_similarity": 0.6147823929786682,
+        "edit_similarity": 0.4850746268656716,
+        "temperature": 0.7
+      }
+    },
+    {
+      "query": "category",
+      "class": "FOCUSED",
+      "score": 0.5276554794123176,
+      "metrics": {
+        "length_ratio": 0.9057239057239057,
+        "lexical_similarity": 0.1721203552286161,
+        "semantic_similarity": 0.7986342906951904,
+        "edit_similarity": 0.32996632996633,
+        "temperature": 0.3
+      }
+    },
+    {
+      "query": "cluster",
+      "class": "FOCUSED",
+      "score": 0.5368282366439341,
+      "metrics": {
+        "length_ratio": 0.33412745681953543,
+        "lexical_similarity": 0.36965560280284027,
+        "semantic_similarity": 0.8606895208358765,
+        "edit_similarity": 0.24121500893388925,
+        "temperature": 0.3
+      }
+    },
+    {
+      "query": "turns",
+      "class": "BALANCED",
+      "score": 0.8577934213645579,
+      "metrics": {
+        "length_ratio": 0.9298245614035088,
+        "lexical_similarity": 0.6949450440198668,
+        "semantic_similarity": 0.9756139516830444,
+        "edit_similarity": 0.8304093567251463,
+        "temperature": 0.8
+      }
+    },
+    {
+      "query": "question_id",
+      "class": "DETERMINISTIC",
+      "score": 0.6281840728221026,
+      "metrics": {
+        "length_ratio": 0.6047745358090185,
+        "lexical_similarity": 0.6014199028259916,
+        "semantic_similarity": 0.7241697907447815,
+        "edit_similarity": 0.48806366047745353,
+        "temperature": 0.0
+      }
+    },
+    {
+      "query": "question_id",
+      "class": "CREATIVE",
+      "score": 1.0000000476837159,
+      "metrics": {
+        "length_ratio": 1.0,
+        "lexical_similarity": 1.0000000000000002,
+        "semantic_similarity": 1.0000001192092896,
+        "edit_similarity": 1.0,
+        "temperature": 1.2
+      }
+    },
+    {
+      "query": "category",
+      "class": "BALANCED",
+      "score": 0.5184671302509168,
+      "metrics": {
+        "length_ratio": 0.8939393939393939,
+        "lexical_similarity": 0.1436400062685798,
+        "semantic_similarity": 0.8119226694107056,
+        "edit_similarity": 0.30606060606060603,
+        "temperature": 0.7
+      }
+    },
+    {
+      "query": "cluster",
+      "class": "BALANCED",
+      "score": 0.5647965013112363,
+      "metrics": {
+        "length_ratio": 0.4430929626411816,
+        "lexical_similarity": 0.3830200853575066,
+        "semantic_similarity": 0.8779842257499695,
+        "edit_similarity": 0.2719374456993918,
+        "temperature": 0.8
+      }
+    },
+    {
+      "query": "question_id",
+      "class": "BALANCED",
+      "score": 0.8220673229710427,
+      "metrics": {
+        "length_ratio": 0.9935897435897436,
+        "lexical_similarity": 0.7374342237632032,
+        "semantic_similarity": 0.8354259729385376,
+        "edit_similarity": 0.8365384615384616,
+        "temperature": 0.8
+      }
+    },
+    {
+      "query": "category",
+      "class": "FOCUSED",
+      "score": 0.5287585850333103,
+      "metrics": {
+        "length_ratio": 0.9441786283891547,
+        "lexical_similarity": 0.15348086852231327,
+        "semantic_similarity": 0.8311877250671387,
+        "edit_similarity": 0.2791068580542265,
+        "temperature": 0.4
+      }
+    },
+    {
+      "query": "cluster",
+      "class": "FOCUSED",
+      "score": 0.5338434773442232,
+      "metrics": {
+        "length_ratio": 0.749498997995992,
+        "lexical_similarity": 0.27092525359702513,
+        "semantic_similarity": 0.7777073383331299,
+        "edit_similarity": 0.33266533066132264,
+        "temperature": 0.4
+      }
+    },
+    {
+      "query": "turns",
+      "class": "FOCUSED",
+      "score": 0.642303249045503,
+      "metrics": {
+        "length_ratio": 0.5454545454545454,
+        "lexical_similarity": 0.5156353507311793,
+        "semantic_similarity": 0.8810869455337524,
+        "edit_similarity": 0.4031620553359684,
+        "temperature": 0.4
+      }
+    },
+    {
+      "query": "question_id",
+      "class": "FOCUSED",
+      "score": 0.7780203671292293,
+      "metrics": {
+        "length_ratio": 0.9919028340080972,
+        "lexical_similarity": 0.6944383154967662,
+        "semantic_similarity": 0.7713881731033325,
+        "edit_similarity": 0.8097165991902834,
+        "temperature": 0.3
+      }
+    },
+    {
+      "query": "cluster",
+      "class": "DETERMINISTIC",
+      "score": 0.5118236103423992,
+      "metrics": {
+        "length_ratio": 0.3955974842767296,
+        "lexical_similarity": 0.37090351000980276,
+        "semantic_similarity": 0.7814128398895264,
+        "edit_similarity": 0.24213836477987416,
+        "temperature": 0.1
+      }
+    },
+    {
+      "query": "question_id",
+      "class": "FOCUSED",
+      "score": 0.5401699015601131,
+      "metrics": {
+        "length_ratio": 0.9022988505747126,
+        "lexical_similarity": 0.2848585643531483,
+        "semantic_similarity": 0.7431026697158813,
+        "edit_similarity": 0.3362068965517241,
+        "temperature": 0.4
+      }
+    },
+    {
+      "query": "turns",
+      "class": "EXPERIMENTAL",
+      "score": 0.5398357277977631,
+      "metrics": {
+        "length_ratio": 0.7676767676767676,
+        "lexical_similarity": 0.25659981955632494,
+        "semantic_similarity": 0.8086546063423157,
+        "edit_similarity": 0.31313131313131315,
+        "temperature": 1.8
+      }
+    },
+    {
+      "query": "question_id",
+      "class": "DETERMINISTIC",
+      "score": 0.5423848766548242,
+      "metrics": {
+        "length_ratio": 0.9134199134199135,
+        "lexical_similarity": 0.452567776997351,
+        "semantic_similarity": 0.6106922030448914,
+        "edit_similarity": 0.35497835497835495,
+        "temperature": 0.1
+      }
+    },
+    {
+      "query": "category",
+      "class": "EXPERIMENTAL",
+      "score": 0.5182840924798804,
+      "metrics": {
+        "length_ratio": 0.7739130434782608,
+        "lexical_similarity": 0.28082619857680396,
+        "semantic_similarity": 0.7405253648757935,
+        "edit_similarity": 0.3021739130434783,
+        "temperature": 1.8
+      }
+    },
+    {
+      "query": "turns",
+      "class": "FOCUSED",
+      "score": 0.6685723180748256,
+      "metrics": {
+        "length_ratio": 0.6115384615384616,
+        "lexical_similarity": 0.7731249200305371,
+        "semantic_similarity": 0.6329332590103149,
+        "edit_similarity": 0.6115384615384616,
+        "temperature": 0.3
+      }
+    },
+    {
+      "query": "question_id",
+      "class": "DETERMINISTIC",
+      "score": 0.5481906018274948,
+      "metrics": {
+        "length_ratio": 0.9589442815249267,
+        "lexical_similarity": 0.33015282155609044,
+        "semantic_similarity": 0.7203692197799683,
+        "edit_similarity": 0.32551319648093846,
+        "temperature": 0.0
+      }
+    },
+    {
+      "query": "cluster",
+      "class": "CREATIVE",
+      "score": 0.7077509212059443,
+      "metrics": {
+        "length_ratio": 1.0,
+        "lexical_similarity": 0.8680942667801238,
+        "semantic_similarity": 0.37093818187713623,
+        "edit_similarity": 0.9947368421052631,
+        "temperature": 1.2
+      }
+    },
+    {
+      "query": "question_id",
+      "class": "FOCUSED",
+      "score": 0.5594422242881831,
+      "metrics": {
+        "length_ratio": 0.9032258064516129,
+        "lexical_similarity": 0.3328651595404209,
+        "semantic_similarity": 0.7376663684844971,
+        "edit_similarity": 0.3709677419354839,
+        "temperature": 0.3
+      }
+    },
+    {
+      "query": "category",
+      "class": "CREATIVE",
+      "score": 0.5695517715895008,
+      "metrics": {
+        "length_ratio": 0.7322274881516587,
+        "lexical_similarity": 0.34137667211733,
+        "semantic_similarity": 0.8248374462127686,
+        "edit_similarity": 0.3199052132701422,
+        "temperature": 1.3
+      }
+    },
+    {
+      "query": "cluster",
+      "class": "DETERMINISTIC",
+      "score": 0.5121320559452233,
+      "metrics": {
+        "length_ratio": 0.4472396925227114,
+        "lexical_similarity": 0.2963116932299266,
+        "semantic_similarity": 0.8177050352096558,
+        "edit_similarity": 0.25716282320055905,
+        "temperature": 0.1
+      }
+    },
+    {
+      "query": "question_id",
+      "class": "BALANCED",
+      "score": 0.795359840012301,
+      "metrics": {
+        "length_ratio": 0.9583333333333334,
+        "lexical_similarity": 0.7507620745788313,
+        "semantic_similarity": 0.7399113774299622,
+        "edit_similarity": 0.8916666666666666,
+        "temperature": 0.8
+      }
+    },
+    {
+      "query": "category",
+      "class": "CREATIVE",
+      "score": 0.5139476364236515,
+      "metrics": {
+        "length_ratio": 0.8463687150837989,
+        "lexical_similarity": 0.279683178258634,
+        "semantic_similarity": 0.6735703945159912,
+        "edit_similarity": 0.3798882681564246,
+        "temperature": 1.3
+      }
+    },
+    {
+      "query": "cluster",
+      "class": "CREATIVE",
+      "score": 0.5122903356360663,
+      "metrics": {
+        "length_ratio": 0.31543624161073824,
+        "lexical_similarity": 0.4378160720118719,
+        "semantic_similarity": 0.765178382396698,
+        "edit_similarity": 0.2166526845637584,
+        "temperature": 1.2
+      }
+    },
+    {
+      "query": "question_id",
+      "class": "BALANCED",
+      "score": 0.7248594277998264,
+      "metrics": {
+        "length_ratio": 0.9798387096774194,
+        "lexical_similarity": 0.6016628440019703,
+        "semantic_similarity": 0.7449740171432495,
+        "edit_similarity": 0.7419354838709677,
+        "temperature": 0.7
+      }
+    },
+    {
+      "query": "category",
+      "class": "CREATIVE",
+      "score": 0.5142983087350697,
+      "metrics": {
+        "length_ratio": 0.8348214285714286,
+        "lexical_similarity": 0.3137731750403317,
+        "semantic_similarity": 0.6162641048431396,
+        "edit_similarity": 0.4508928571428571,
+        "temperature": 1.3
+      }
+    },
+    {
+      "query": "cluster",
+      "class": "CREATIVE",
+      "score": 0.6740109328883587,
+      "metrics": {
+        "length_ratio": 0.7673830594184576,
+        "lexical_similarity": 0.5196319678531868,
+        "semantic_similarity": 0.930259108543396,
+        "edit_similarity": 0.34639696586599245,
+        "temperature": 1.3
+      }
+    },
+    {
+      "query": "turns",
+      "class": "FOCUSED",
+      "score": 0.543215796007843,
+      "metrics": {
+        "length_ratio": 0.5112540192926045,
+        "lexical_similarity": 0.579738671537666,
+        "semantic_similarity": 0.5558721423149109,
+        "edit_similarity": 0.4790996784565916,
+        "temperature": 0.4
+      }
+    },
+    {
+      "query": "question_id",
+      "class": "FOCUSED",
+      "score": 0.5566741342875583,
+      "metrics": {
+        "length_ratio": 0.948170731707317,
+        "lexical_similarity": 0.3219561881881914,
+        "semantic_similarity": 0.7378706336021423,
+        "edit_similarity": 0.35060975609756095,
+        "temperature": 0.3
+      }
+    },
+    {
+      "query": "category",
+      "class": "FOCUSED",
+      "score": 0.504382863704623,
+      "metrics": {
+        "length_ratio": 0.9703264094955489,
+        "lexical_similarity": 0.18747940226840087,
+        "semantic_similarity": 0.7694573998451233,
+        "edit_similarity": 0.21661721068249262,
+        "temperature": 0.3
+      }
+    },
+    {
+      "query": "cluster",
+      "class": "DETERMINISTIC",
+      "score": 0.7058713037161771,
+      "metrics": {
+        "length_ratio": 0.7555555555555555,
+        "lexical_similarity": 0.7218863782138989,
+        "semantic_similarity": 0.6677079200744629,
+        "edit_similarity": 0.7333333333333334,
+        "temperature": 0.0
+      }
+    },
+    {
+      "query": "turns",
+      "class": "BALANCED",
+      "score": 0.7927016099448482,
+      "metrics": {
+        "length_ratio": 0.9901477832512315,
+        "lexical_similarity": 0.905825940962956,
+        "semantic_similarity": 0.5622367858886719,
+        "edit_similarity": 0.9852216748768473,
+        "temperature": 0.8
+      }
+    }
+  ]
+}
\ No newline at end of file