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

https://wiki-mixer.win/index.php/How_to_Measure_Reviewer_Agreement_on_Escalated_Cases

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