Create stability_mechanisms.md

stability_mechanisms.md

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+# Stability Mechanisms
+
+The Clarus Clinical Stability Benchmark organizes datasets according to two dimensions:
+
+1. **Instability mechanism**  
+2. **System domain**
+
+Each dataset represents a specific combination of these two dimensions.
+
+This structure ensures the benchmark grows in a coherent way rather than as a collection of unrelated datasets.
+
+---
+
+# Instability Mechanisms
+
+These mechanisms describe the underlying dynamics that cause systems to become unstable.
+
+## Pressure Overload
+
+Demand exceeds system capacity.
+
+Examples:
+- circulatory overload
+- hospital workload spikes
+- metabolic demand surges
+
+---
+
+## Buffer Exhaustion
+
+Protective reserves are depleted.
+
+Examples:
+- renal buffering failure
+- endocrine metabolic exhaustion
+- coagulation reserve collapse
+
+---
+
+## Coupling Cascade
+
+Multiple subsystems begin amplifying each other’s failures.
+
+Examples:
+- organ coupling cascades
+- inflammatory cascades
+- metabolic feedback loops
+
+---
+
+## Delay Instability
+
+The system response occurs too late to restore stability.
+
+Examples:
+- delayed antibiotic treatment
+- delayed hemorrhage control
+- delayed ventilation support
+
+---
+
+## Control Loop Failure
+
+Regulatory feedback mechanisms stop stabilizing the system.
+
+Examples:
+- respiratory drive failure
+- autonomic instability
+- thermoregulation breakdown
+
+---
+
+## Recovery Window Closure
+
+A system may be recoverable early but becomes unrecoverable once a stability threshold is crossed.
+
+Examples:
+- hemorrhage compensation collapse
+- sepsis recovery window loss
+- cardiac arrest progression
+
+---
+
+# System Domains
+
+Instability mechanisms can occur in different physiological or operational systems.
+
+Examples of domains included in the benchmark:
+
+- circulation
+- microcirculation
+- cellular energy metabolism
+- respiratory regulation
+- endocrine regulation
+- thermoregulation
+- coagulation
+- electrolyte balance
+- hospital operational systems
+
+---
+
+# Dataset Design Rule
+
+Each dataset in the Clarus benchmark represents:
+instability mechanism + system domain
+
+
+Example:
+
+| Mechanism | Domain | Dataset |
+|---|---|---|
+| Pressure overload | circulation | clinical-hemodynamic-collapse |
+| Buffer exhaustion | metabolism | clinical-endocrine-instability |
+| Coupling cascade | organs | clinical-organ-coupling-cascade |
+| Delay instability | treatment | clinical-intervention-delay-failure |
+| Control loop failure | respiration | clinical-respiratory-drive-instability |
+| Recovery window closure | trauma | clinical-hemorrhage-compensation-collapse |
+
+---
+
+# Benchmark Expansion
+
+New datasets should follow this rule.
+
+When expanding the benchmark:
+
+1. Choose a stability mechanism
+2. Choose a system domain
+3. Design variables that represent that regime
+
+This ensures the benchmark remains structured while allowing the dataset suite to grow over time.