Model disagreement helps spot tricky cases by measuring how confused models...

https://www.bookmarking-keys.win/when-models-disagree-on-a-prediction-it-often-signals-uncertain-or-risky

Model disagreement helps spot tricky cases by measuring how confused models are, using metrics like entropy or ensemble variance. When the disagreement is high, say the top 1-2% of inputs, those cases get flagged for expert review or targeted labeling