Add new scripts and configurations for model comparison and analysis

- Introduced `poster_model_comparison.py` for generating model comparison figures.
- Added `plot_poster_roc_comparison.py` for creating ROC comparison figures for PAPILA binary classification.
- Created new JSON configuration files for clinical solo models with and without geometry injection.
- Implemented batch dispatch updates in `batch_dispatch.py` to utilize run names from configurations.
- Added analysis scripts: `compare_grid.py`, `inspect_embeddings.py`, and `summarize_run.py` for evaluating model performance and feature embeddings.
- Created experiment configurations for various training scenarios, including warm sweeps and promoting successful runs.
- Added binary ROC comparison and model comparison figures to the results directory.

v4/scripts/experiments/tri_v1/baseline_tri_features.json

@@ -0,0 +1,10 @@
+[
+  {
+    "_note": "Single rep of tritower default with save_features=true so we can inspect nt-stage embeddings (Hadamard-product collapse hypothesis).",
+    "run_name": "experiments/tri_v1/baseline_tri_features",
+    "reps": 1,
+    "overrides": {
+      "save_features": true
+    }
+  }
+]