When models in your ensemble disagree—say, when entropy hits a high score or...

https://speedy-wiki.win/index.php/How_to_Use_Disagreement_to_Catch_Edge_Cases_Before_They_Cause_Harm

When models in your ensemble disagree—say, when entropy hits a high score or ensemble variance spikes—it signals tricky, uncertain inputs. These cases often carry higher risk, so flagging the top 1-2% for manual review helps catch errors early