This sample weighting strategy acknowledges the uncertainty associated with expert assessments, particularly when agreement with model predictions is ambiguous (e.g., u t ≈ 0.5). Such inputs provided by the expert are deemed less reliable and thus have less impact during predictor retraining. Finally, the updated predictor replaces the previous one in the scoring function for subsequent generation cycles. This procedure is referred to as the "Active Learning Loop" in Figure .