Model disagreement highlights inputs where predictions differ most, flagging...

https://www.yankee-bookmarkings.win/when-models-disagree-on-predictions-it-signals-uncertain-or-risky-inputs-worth

Model disagreement highlights inputs where predictions differ most, flagging potential risk. By tracking ensemble variance, we spot cases with high uncertainty. Routing the top 1-2% of these disputed cases for human review helps catch errors early