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

https://papa-wiki.win/index.php/Feature_Importance_Drift_vs_Distribution_Shift:_What%27s_the_Difference%3F

Model disagreement helps spot risky inputs by measuring how much predictions differ, using metrics like ensemble variance or entropy. When models don’t agree, it often signals uncertainty or new patterns