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Adds a `prediction` plot family to `giant analyze`, alongside the existing rollout-vs-reference comparison, and extends `giant predict` to make it possible: - `giant predict --coord global` gains schema v3 (`--truth/--no-truth`, default on): writes true_* physical columns and true secondary lists alongside the predictions, so the output is fully paired. - New `giant/analysis/prediction.py` builds one canonical true/pred frame (`paired_frame`) from either predict coord mode. - `catalog.py` gains 35 `pred_*` specs: marginals, 2D truth-vs-pred scatter (new `heatmap2d` kind), residuals/relative-residuals/calibration profiles, KS/bias/RMSE scorecards, n_sec + secondary-species confusion matrices, direction-alignment and constraint-violation checks, and a correlation delta. Two new Reduced kinds (`paired_hist`, `heatmap2d`) get renderers. Every spec degrades to kind="unavailable" with no --prediction given. - `condor.py`/`cli.py`: `--prediction`/`--prediction-label` on `analyze prep`/`submit`, threaded through RunMeta and every compute job. Full test suite (1162 tests), ruff, and ty all pass. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01PpxE9nij3ujg9XcuzvQ26q