Create transfer_matrix.md

transfer_matrix.md

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+# Cross-Regime Transfer Matrix
+
+This matrix defines cross-regime evaluation for the Clarus Clinical Stability Benchmark.
+
+The purpose is to evaluate whether models can generalize **stability reasoning across different physiological systems**.
+
+Traditional tabular models often learn correlations specific to a dataset.
+
+The Clarus transfer benchmark evaluates whether models can detect instability when the **observable variables change but the underlying stability dynamics remain similar**.
+
+---
+
+# Transfer Experiments
+
+| Train Dataset | Test Dataset | Evaluation Goal |
+|---|---|---|
+| clinical-hemodynamic-collapse-v0.1 | clinical-hemodynamic-collapse-v0.1 | baseline performance |
+| clinical-hemodynamic-collapse-v0.1 | clinical-microcirculation-instability-v0.1 | circulation → tissue perfusion transfer |
+| clinical-hemodynamic-collapse-v0.1 | clinical-cellular-energy-instability-v0.1 | circulation → metabolic transfer |
+| clinical-microcirculation-instability-v0.1 | clinical-cellular-energy-instability-v0.1 | perfusion → cellular energy transfer |
+| clinical-thermoregulation-instability-v0.1 | clinical-cellular-energy-instability-v0.1 | heat stress → metabolic load transfer |
+| clinical-endocrine-instability-v0.1 | clinical-electrolyte-instability-v0.1 | metabolic regulation transfer |
+| clinical-coagulation-instability-v0.1 | clinical-hemorrhage-compensation-collapse-v0.1 | hemostasis → hemorrhage response |
+
+---
+
+# Interpretation
+
+Large performance drops indicate the model relied on dataset-specific correlations.
+
+Stable performance across regimes suggests the model has learned **general system stability reasoning**.