When models disagree on a prediction, it signals uncertainty and potential risk...

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

When models disagree on a prediction, it signals uncertainty and potential risk in that input. Tracking metrics like ensemble variance or margin helps spot these tricky cases