I haven’t looked at the output yet, but came here to say,LLM grading is crap. They miss things, they ignore instructions, bring in their own views, have no calibration and in general are extremely poorly suited to this task. “Good” LLM as a judge type products (and none are great) use LLMs to make binary decisions - “do these atomic facts match yes / no” type stuff - and aggregate them to get a score.

I understand this is just a fun exercise so it’s basically what LLMs are good at - generating plausible sounding stuff without regard for correctness. I would not extrapolate this to their utility on real evaluation tasks.