Update README.md

README.md

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----
-license: mit
----
+---
+language:
+- en
+license: mit
+task_categories:
+- text-classification
+tags:
+- clinical-trials
+- cascade-modeling
+- shock
+- boundary-discovery
+- five-node
+size_categories:
+- 1K<n<10K
+pretty_name: Clinical Five Node Shock Cascade Boundary v0.4
+---
+
+# What this repo does
+
+This dataset models shock cascade instability boundaries using a five-node physiological interaction system.
+
+Clarus v0.4 datasets focus on detecting whether systems lie on the edge of cascade instability.
+
+The objective is to determine when the shock system is so close to collapse that even small perturbations trigger systemic failure.
+
+# Core cascade nodes
+
+hemodynamic_stress  
+vascular_buffer  
+intervention_delay  
+organ_coupling  
+metabolic_stress
+
+These nodes represent interacting components of shock physiology.
+
+hemodynamic_stress captures circulatory strain and perfusion instability.
+
+vascular_buffer represents remaining vascular reserve and compensatory capacity.
+
+intervention_delay reflects delayed fluids, vasopressors, source control, or corrective treatment.
+
+organ_coupling represents propagation of dysfunction across organ systems.
+
+metabolic_stress represents systemic metabolic instability under shock conditions.
+
+# Trajectory layer
+
+drift_gradient
+
+Range  
+-1 to +1
+
+Negative values indicate stabilization.
+
+Positive values indicate drift toward cascade.
+
+# Dynamic forecasting layer
+
+drift_velocity  
+drift_acceleration  
+boundary_distance
+
+These describe how quickly the system is approaching collapse.
+
+# Boundary discovery layer
+
+Two variables capture proximity to instability.
+
+perturbation_radius  
+collapse_trigger
+
+These convert the dataset into an adversarial cascade boundary discovery benchmark.
+
+# Boundary variable definitions
+
+## perturbation_radius
+
+Minimum perturbation needed to push the system into cascade.
+
+Range 0 to 1.
+
+Small values indicate extreme fragility.
+
+## collapse_trigger
+
+Binary indicator showing whether the perturbation produced cascade.
+
+0 stable  
+1 cascade
+
+collapse_trigger is included as an observed perturbation response feature.
+
+It is not the prediction target.
+
+The prediction task is to identify the underlying boundary-risk state.
+
+# Prediction target
+
+label_shock_cascade
+
+A positive label is triggered when either condition holds.
+
+boundary_distance < 0.10
+
+or
+
+perturbation_radius < 0.08
+
+These thresholds represent proximity to the instability manifold and minimal perturbation collapse risk.
+
+# Row structure
+
+scenario_id
+
+hemodynamic_stress  
+vascular_buffer  
+intervention_delay  
+organ_coupling  
+metabolic_stress
+
+drift_gradient  
+drift_velocity  
+drift_acceleration  
+boundary_distance
+
+perturbation_radius  
+collapse_trigger
+
+label_shock_cascade
+
+# Files
+
+data/train.csv  
+labeled training examples
+
+data/tester.csv  
+unlabeled evaluation examples
+
+scorer.py  
+binary boundary detection evaluation script
+
+README.md  
+dataset documentation
+
+# Evaluation
+
+The scorer reports
+
+accuracy  
+precision  
+recall_boundary_detection  
+false_safe_rate  
+f1  
+confusion_matrix
+
+Primary metric
+
+recall_boundary_detection
+
+Secondary diagnostic metric
+
+false_safe_rate
+
+# Structural Note
+
+Clarus dataset progression
+
+v0.1 cascade detection  
+v0.2 trajectory detection  
+v0.3 dynamic forecasting  
+v0.4 boundary discovery
+
+# Production Deployment
+
+Research dataset for instability detection and cascade modeling.
+
+Not intended for clinical decision use.
+
+# Enterprise & Research Collaboration
+
+For dataset expansion, custom coherence scorers, or deployment architecture:
+
+team@clarusinvariant.com
+
+Instability is detectable.  
+Governance determines whether it propagates.