| # Capability Framework |
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| This benchmark evaluates clinical reasoning quality across nine structured tasks. |
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| The benchmark does not focus on diagnosis. |
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| It focuses on whether a model can reason about stability, trajectory, boundary pressure, recovery, and intervention choice. |
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| ## Capability Domains |
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| ### State Reasoning |
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| Dataset: |
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| - clinical-compensation-vs-recovery-v0.2 |
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| Tests whether a model can distinguish visible stability from true recovery. |
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| Core distinction: |
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| - stable because recovered |
| - stable because supported |
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| ### Trajectory Reasoning |
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| Datasets: |
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| - clinical-silent-failure-v0.2 |
| - clinical-trajectory-awareness-v0.2 |
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| Tests whether a model can distinguish current appearance from direction of movement. |
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| Core distinctions: |
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| - mild-looking but worsening |
| - severe-looking but improving |
| - hidden deterioration before collapse |
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| ### Decision Reasoning |
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| Dataset: |
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| - clinical-escalation-discipline-v0.2 |
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| Tests whether a model can decide when monitoring is no longer enough. |
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| Core distinction: |
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| - high visible severity but improving |
| - moderate visible severity but deteriorating |
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| ### Boundary Reasoning |
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| Dataset: |
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| - clinical-constraint-pressure-v0.2 |
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| Tests whether a model can detect pressure on the patient system. |
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| Core distinction: |
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| - support needs |
| - reserve capacity |
| - direction of pressure |
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| ### Margin Reasoning |
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| Dataset: |
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| - clinical-boundary-distance-v0.2 |
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| Tests whether a model can estimate proximity to collapse boundary. |
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| Core distinction: |
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| - safe margin |
| - narrowing margin |
| - critical boundary proximity |
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| ### Recovery Reasoning |
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| Datasets: |
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| - clinical-recovery-geometry-v0.2 |
| - clinical-recovery-energy-v0.2 |
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| Tests whether a model can distinguish real recovery from superficial improvement and estimate recovery burden. |
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| Core distinctions: |
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| - improvement in one marker versus structural recovery |
| - low recovery effort versus high recovery effort |
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| ### Intervention Reasoning |
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| Dataset: |
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| - clinical-competing-interventions-v0.2 |
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| Tests whether a model can compare competing stabilisation pathways. |
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| Core distinction: |
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| - best action is not always the most aggressive action |
| - intervention quality depends on patient state, response profile, and downstream risk |
