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

https://readharvesty.com/s/bIYthmAEI4EPkB-BS6BfK

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