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

https://wakelet.com/wake/jsFyK9iWj1x-RAraxq1oJ

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