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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.