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Adds a shared juror-balancing utility (z-score normalization per juror, rescaled back onto the raw 1-10 scale) and wires it into: - Admin reports page: Top-10 project table now shows "Raw Avg" and "Balanced" columns side by side, and the summary stats row shows a balanced-average tile. Sort defaults to balanced so harsh and lenient graders no longer skew the ranking. - Ranking dashboard: each project row shows a green/amber balanced-score chip next to the raw average when the two differ by ≥0.05, making it obvious when juror calibration moved a project's effective ranking. Also adds AI Juror Calibration Advisory — a mutation that takes anonymized per-juror stats, calls OpenAI, and produces a plain-language explanation of the cohort's grading patterns plus per-juror severity (normal / notable / outlier) with a one-sentence narrative. The advisory describes the statistical balance that already runs; it does not introduce a new weighting layer. Rendered as a panel in the Juror Consistency tab when a specific round is selected. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>