How LLM scores are calculated
Scores are calibrated scores. Each image starts from a GPT raw prompt-adherence score, then calibration applies image-level rubric tags, human-rating drift correction, model drift, score-bin drift, ratio-aware drift, feature drift, and uncertainty estimates. Notes summarize the raw score, calibrated score, CI80 interval, and the strongest calibration features.
