To investigate whether a negative correlation exists between total uncertainty and the model's predictive performance, we divided the test set atoms into 20 bins based on their total uncertainty scores. The number of bins was chosen to balance granularity with statistical significance. For each bin, we computed the average total uncertainty, the MCC, and the Spearman rank-order correlation coefficient ρ to assess the relationship between these values. Figure shows the average total uncertainty versus MCC.