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

https://seo.edu.rs/blog/counterfactual-augmentation-for-disputed-inputs-how-does-it-work-11189

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