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

https://www.bookmark-suggest.win/model-disagreement-helps-spot-tricky-or-risky-inputs-by-highlighting-cases

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