| { |
| "figure_set": "Figures 2-5 and Supplementary Figures 1-27", |
| "latent_coordinate_spaces": [ |
| "per_session_whitened_reference_aligned_3d" |
| ], |
| "manuscript_working_version": "manuscript_v7", |
| "schema_version": 1, |
| "source": "paper/results, active consistency embedding artifacts, and Figure 5 prediction sidecars", |
| "source_git_revision": "80def770609a52f45a835c6b62500b04cdc2b548", |
| "source_repository": "https://github.com/TangLab-UBC/behavior_benchmarking", |
| "source_worktree_dirty": true, |
| "tables": { |
| "clean_prediction_summary.csv": { |
| "rows": 115, |
| "sha256": "1be57a892d7033367897bb065ec75f7d6942d5b1a1970136f958df08cacb43df" |
| }, |
| "consistency_summary.csv": { |
| "rows": 54, |
| "sha256": "7039c0d38c288576e39ea6a1147a41eb2d395559b1d9b1de1b14eac3b3801b7f" |
| }, |
| "latent_samples.csv": { |
| "rows": 31140, |
| "sha256": "bb484c47b78bd7a7d0a2bfea94296e726aa80034f87368b32302aaba0c5aa622" |
| }, |
| "latent_trajectories.csv": { |
| "rows": 75040, |
| "sha256": "d15a19b50d7dbc517b4bf5de60a550fda6870327e5e59fb4a5ec37f01921abf5" |
| }, |
| "neuron_shap_summary.csv": { |
| "rows": 105, |
| "sha256": "a36430bdd193040c48e2ab9fd48570d9c37b9ad58025d8a02d2c84293c768389" |
| }, |
| "robustness_summary.csv": { |
| "rows": 115, |
| "sha256": "6e67a53dd3f3629c1280609aaad3f3203a0c7ab4938bdedb05d0c207cfd6e98f" |
| }, |
| "scalability_summary.csv": { |
| "rows": 115, |
| "sha256": "04838e17f653394e8d861b8698c66d907864bce44c3561343a8a6489021dbd23" |
| }, |
| "trial_historical_trajectories.csv": { |
| "rows": 4725, |
| "sha256": "605373599d4bd46c1379ab99b791bd82060544843be8eb880a9f9bcb523d1cda" |
| }, |
| "trial_shapley_retrain_summary.csv": { |
| "rows": 99, |
| "sha256": "069fcb01b5ebd3dd290553d9373a7c1a9841a390d08a30eb9cc024ed8eab7eb0" |
| }, |
| "trial_shapley_summary.csv": { |
| "rows": 81, |
| "sha256": "bba3435afa6a0e2755d30199e995f53bfa33df8b7200b066ea9b575d6125133b" |
| } |
| } |
| } |
|
|
