When models disagree—like showing high ensemble variance or low prediction...

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

When models disagree—like showing high ensemble variance or low prediction margin—it signals tricky inputs that may risk errors. You can catch these edge cases early by flagging the top 1-2% for expert review or focusing on labeling 500 disputed cases