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

https://magic-wiki.win/index.php/Disagreement_as_a_Diagnostic_Metric,_Not_Noise:_What_Does_That_Mean%3F

Model disagreement helps spot risky inputs by measuring how much predictions differ, using metrics like ensemble variance or margin. When models disagree a lot, that signals uncertainty or edge cases