Table 2:

Average pairwise model similarity scores of true positive, false positive, and all positive (foreground) predictions for the different ensemble methods in the neck CTA experiment. Lower values indicate more diversity. A good ensemble should have high diversity in its (e.g. false positive) errors, but less diversity in correct predictions.

Method	True Positive	False Positive	All Positive
Baseline Ensemble	0.768	0.637	0.696
Low prec Ensemble (β=0.95)	0.951	0.572	0.655
Low Prec Ensemble (random β)	0.954	0.515	0.643