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0a5dbae | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 | # 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.
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# 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
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## Buffer Exhaustion
Protective reserves are depleted.
Examples:
- renal buffering failure
- endocrine metabolic exhaustion
- coagulation reserve collapse
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## Coupling Cascade
Multiple subsystems begin amplifying each other’s failures.
Examples:
- organ coupling cascades
- inflammatory cascades
- metabolic feedback loops
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## Delay Instability
The system response occurs too late to restore stability.
Examples:
- delayed antibiotic treatment
- delayed hemorrhage control
- delayed ventilation support
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## Control Loop Failure
Regulatory feedback mechanisms stop stabilizing the system.
Examples:
- respiratory drive failure
- autonomic instability
- thermoregulation breakdown
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## 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
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# 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
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# 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 |
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# 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. |