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

https://www.bookmark-help.win/model-disagreement-helps-spot-risky-inputs-by-measuring-uncertainty-with

When models disagree on predictions, it highlights risky or uncertain inputs worth a closer look. For example, high entropy or large ensemble variance signals confused predictions