Model disagreement helps spot risky 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 risky inputs by measuring how much predictions vary. Using metrics like ensemble variance or margin, you can flag cases where models don’t agree