Yeah, what I did to "solve" my issue was to use several models (4), then where there was any disagreement farm out to humans (2). 60% went to humans in the end.

I suspect if I'd done some corrective transformations before LLM scanning the success rate would have been higher, but the cost threshold of the project didn't warrant it.