Cross-Regime Transfer Matrix
The Clarus Clinical Stability Benchmark includes cross-regime transfer tests.
These tests evaluate whether models learn general stability reasoning rather than dataset-specific correlations.
Transfer Matrix
| Train Dataset | Test Dataset | Transfer Question |
|---|---|---|
| clinical-hemodynamic-collapse | clinical-perfusion-instability | Does macro-circulatory reasoning transfer to tissue perfusion? |
| clinical-perfusion-instability | clinical-microvascular-instability | Does perfusion reasoning transfer to capillary-flow instability? |
| clinical-oxygen-transport-instability | clinical-cellular-energy-instability | Does oxygen delivery reasoning transfer to cellular energy failure? |
| clinical-respiratory-drive-instability | clinical-acid-base-instability | Does ventilatory control reasoning transfer to acid–base buffering? |
| clinical-renal-filtration-instability | clinical-fluid-balance-instability | Does renal filtration reasoning transfer to volume regulation? |
| clinical-glucose-regulation-instability | clinical-hormonal-feedback-instability | Does metabolic feedback reasoning transfer to endocrine feedback? |
| clinical-immune-cascade-instability | clinical-hemostasis-instability | Does cascade reasoning transfer to coagulation balance? |
| clinical-drug-toxicity-instability | clinical-neurologic-deterioration-instability | Does toxic accumulation reasoning transfer to neurologic deterioration? |
| clinical-hospital-operational-collapse | clinical-monitoring-failure-instability | Does operational overload reasoning transfer to detection failure? |
Evaluation Method
For each row:
- Train on the train.csv file from the source dataset.
- Generate predictions for the test.csv file from the target dataset.
- Evaluate with the target dataset scorer.
- Record F1, precision, recall, and accuracy.
Transfer Stability Score
The Transfer Stability Score is:
TSS = mean F1 across all transfer tests
High TSS suggests the model learned stability reasoning.
Low TSS suggests the model learned dataset-specific surface patterns.
Structural Note
Cross-regime transfer is the strongest test in the Clarus benchmark.
Single-dataset performance can be achieved through local pattern learning.
Transfer performance requires models to detect shared stability geometry across different systems.