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

https://wiki-spirit.win/index.php/Is_Model_Disagreement_a_Sign_of_Distribution_Shift%3F_56018

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