You should do an experiment of splitting that up to multiple reviews that are logically together. My hypothesis is that you may be losing signal due to the amount of text expected back.

Yeah. I have a set of 5 review prompts attacking different problems, an adversarial review, and then a final synthesis, with the best results gotten by multiple passes using multiple models (the adversarial review stage combining all passes into one review per model and the synthesis picking the best of the two or three adversarial reviews). Expensive but it actually finds real problems that the single pass reviews rarely seem to find.

Or a dynamic workflow. $$$ but lots of coverage.