code: def test_explicit_predicted_scores():
      return torch.tensor(
          [
              [0.9, 1.4, 2.5, -0.7],
              [5.1, 4.2, 3.7, 2.12],
              [-1, 2, -3, 4],
          ]
      )
  
file_path: collie/tests/fixtures/metrics_fixtures.py
imports: import pytest
  import torch
  from collie.interactions import ExplicitInteractions, Interactions
label_desc: Use image node_id 4 for calling a global function with example usage: test_explicit_predicted_scores() and returns: torch