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/distributed/batch_dispatch.py

@@ -169,7 +169,7 @@ def dispatch_batch(
             server_cfg_path = str(rel_path)
 
             job_body = {
-                "run_name":   run_name,
+                "run_name":   cfg["run_name"],   # per-rep, e.g. ".../rep05"
                 "module":     "v4.classes.v4_hypertower",
                 "args":       ["--config", server_cfg_path],
                 "output_dir": output_root,