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transfer_protocol.md

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-# Cross-Regime Transfer Evaluation Protocol
-
-This protocol defines how cross-regime experiments are performed.
-
----
-
-# Step 1 — Train Model
-
-Train a model using the train.csv file from a selected dataset.
-
-Example:
-
-Train dataset:
-
-clinical-hemodynamic-collapse-v0.1
-
----
-
-# Step 2 — Generate Predictions
-
-Generate predictions for the test.csv of another dataset.
-
-Prediction format:
-
-scenario_id,prediction
-
-Example:
-
-MC101,0  
-MC102,1
-
----
-
-# Step 3 — Evaluate Predictions
-
-Use the official scorer from the target dataset repository.
-
-Example:
-
-python scorer.py --predictions predictions.csv --truth data/test.csv --output metrics.json
-
----
-
-# Step 4 — Record Results
-
-Record the F1 score in the transfer matrix.
-
-These scores are used to compute the Transfer Stability Score.