Model disagreement helps spot tricky inputs by measuring how much predictions...

https://seo.edu.rs/blog/counterfactual-augmentation-for-disputed-inputs-how-does-it-work-11189

Model disagreement helps spot tricky inputs by measuring how much predictions differ—like using ensemble variance or margin scores. When models strongly disagree, it signals uncertainty that could mean risk or errors