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

https://wiki-zine.win/index.php/Mutual_Information_Uncertainty:_When_Should_I_Use_It%3F

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