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

https://reportz.io/ai/when-models-disagree-what-contradictions-reveal-that-a-single-ai-would-miss/

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