Model disagreement helps spot risky inputs by measuring uncertainty with...

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Model disagreement helps spot risky inputs by measuring uncertainty with metrics like entropy or ensemble variance. When models disagree sharply, those top 1-2% cases get flagged for human review or targeted labeling