Model disagreement helps spot risky inputs by showing when predictions don’t...

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

Model disagreement helps spot risky inputs by showing when predictions don’t align. Using metrics like ensemble variance or margin, you can flag unclear cases. For example, routing the top 1-2% most disputed cases for expert review cuts errors