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

https://www.booknose.win/when-models-disagree-on-a-prediction-it-often-signals-tricky-or-risky-inputs

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