Model disagreement helps spot risky inputs by measuring uncertainty with...

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

Model disagreement helps spot risky inputs by measuring uncertainty with metrics like entropy or ensemble variance. When models disagree sharply, those top 1-2% cases get flagged for human review or targeted labeling