feat(analyze): add paired truth/pred plots from giant predict

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

tests/test_render.py

@@ -329,6 +329,58 @@ def test_render_one_of_each_kind(tmp_path: Path):
                 "log_color": True,
             },
         ),
+        Reduced(
+            "ph1",
+            "prediction",
+            "paired_hist",
+            "Paired hist (single prediction)",
+            "x",
+            {"edges": [0, 1, 2, 3], "series": {"pred": {"pred": [1, 2, 3], "true": [2, 2, 2]}}, "log_y": False},
+        ),
+        Reduced(
+            "ph2",
+            "prediction",
+            "paired_hist",
+            "Paired hist (two predictions)",
+            "x",
+            {
+                "edges": [0, 1, 2, 3],
+                "series": {"a": {"pred": [1, 2, 3], "true": [2, 2, 2]}, "b": {"pred": [3, 2, 1]}},
+                "log_y": False,
+            },
+        ),
+        Reduced(
+            "hm2d",
+            "prediction",
+            "heatmap2d",
+            "Scatter (truth vs pred)",
+            "true x",
+            {
+                "x_edges": [0, 1, 2],
+                "y_edges": [0, 1, 2],
+                "series": {"pred": [[2, 0], [1, 3]]},
+                "ylabel": "predicted x",
+                "cbar_label": "count",
+                "log_color": True,
+                "diagonal": True,
+            },
+        ),
+        Reduced(
+            "profile_noref",
+            "prediction",
+            "profile",
+            "Residual profile (no reference)",
+            "true x",
+            {"edges": [0, 1, 2], "series": {"pred": {"mean": [0.1, -0.1], "std": [0.2, 0.2]}}},
+        ),
+        Reduced(
+            "bar_noref",
+            "prediction",
+            "bar",
+            "Constraint violations (no reference)",
+            "check",
+            {"labels": ["a", "b"], "series": {"pred": [0.01, 0.0]}, "ylabel": "rate"},
+        ),
     ]
     try:
         pdfs = _try_render(reduced, tmp_path)