Doesn't it mean 100% of your content needs to be double-checked? You can't easily identify which 2-3% of your content has errors. I'm aware that errors are more likely when the model is less confident of its predictions, but that shouldn't be enough.
(edit for clarification: errors are not always something like "[UNINTELLIGIBLE]", where the system knows it doesn't know; they can also be misrecognitions that the system believes in with high confidence.)
(edit for clarification: errors are not always something like "[UNINTELLIGIBLE]", where the system knows it doesn't know; they can also be misrecognitions that the system believes in with high confidence.)