When models disagree on predictions, it signals uncertain or risky inputs worth...

https://www.booknose.win/when-models-disagree-on-a-prediction-it-often-signals-tricky-or-risky-inputs

When models disagree on predictions, it signals uncertain or risky inputs worth flagging. Measuring ensemble variance helps spot these cases. By routing the top 1-2% of high-variance inputs for human review, you catch potential errors early