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
