{
  "repo_name": "clinical-quad-infection-buffer-lag-coupling-sepsis-transition-v1.1",
  "repo_path": "ClarusC64/clinical-quad-infection-buffer-lag-coupling-sepsis-transition-v1.1",
  "version": "v1.1",
  "domain": "clinical",
  "structure": "quad",
  "failure_type": "sepsis_transition",
  "id_column": "scenario_id",
  "label_column": "label_sepsis_transition",
  "system_variables": [
    {
      "name": "infection_load",
      "type": "float",
      "range": [0.0, 1.0],
      "description": "Primary infectious burden pushing the system toward septic transition."
    },
    {
      "name": "buffer_capacity",
      "type": "float",
      "range": [0.0, 1.0],
      "description": "Remaining physiological reserve available to absorb septic stress."
    },
    {
      "name": "lag_burden",
      "type": "float",
      "range": [0.0, 1.0],
      "description": "Delayed correction pressure caused by unresolved instability or late treatment."
    },
    {
      "name": "coupling_stress",
      "type": "float",
      "range": [0.0, 1.0],
      "description": "Cross-system destabilization linking infection, perfusion, and organ strain."
    }
  ],
  "trajectory_signals": [
    {
      "name": "drift_gradient",
      "type": "float",
      "range": [-1.0, 1.0],
      "description": "Direction and magnitude of movement through the instability landscape."
    },
    {
      "name": "drift_velocity",
      "type": "float",
      "range": [0.0, 1.0],
      "description": "Speed of movement toward or away from instability."
    },
    {
      "name": "drift_acceleration",
      "type": "float",
      "range": [0.0, 1.0],
      "description": "Rate at which drift velocity is changing."
    },
    {
      "name": "trajectory_shift",
      "type": "float",
      "range": [-1.0, 1.0],
      "description": "Net trajectory change after control and recovery dynamics."
    }
  ],
  "boundary_signals": [
    {
      "name": "boundary_distance",
      "type": "float",
      "range": [0.0, 1.0],
      "description": "Distance to the nearest active instability boundary."
    },
    {
      "name": "secondary_boundary_distance",
      "type": "float",
      "range": [0.0, 1.0],
      "description": "Distance to the second-nearest competing instability boundary."
    },
    {
      "name": "boundary_competition_ratio",
      "type": "float",
      "range": [0.0, 1.0],
      "description": "Relative pull between primary and secondary boundaries."
    }
  ],
  "uncertainty_signals": [
    {
      "name": "boundary_uncertainty",
      "type": "float",
      "range": [0.0, 1.0],
      "description": "Uncertainty in the estimated boundary position."
    },
    {
      "name": "trajectory_uncertainty",
      "type": "float",
      "range": [0.0, 1.0],
      "description": "Uncertainty in system trajectory estimation."
    },
    {
      "name": "regime_confidence",
      "type": "float",
      "range": [0.0, 1.0],
      "description": "Confidence in current regime classification."
    },
    {
      "name": "transition_uncertainty",
      "type": "float",
      "range": [0.0, 1.0],
      "description": "Uncertainty in regime transition estimation."
    },
    {
      "name": "intervention_uncertainty",
      "type": "float",
      "range": [0.0, 1.0],
      "description": "Uncertainty around intervention quality or fit."
    },
    {
      "name": "controller_confidence",
      "type": "float",
      "range": [0.0, 1.0],
      "description": "Confidence held by the controller in the chosen sequence."
    },
    {
      "name": "feedback_noise_ratio",
      "type": "float",
      "range": [0.0, 1.0],
      "description": "Noise present in observed system feedback."
    }
  ],
  "regime_transition_signals": [
    {
      "name": "regime_transition_score",
      "type": "float",
      "range": [0.0, 1.0],
      "description": "Strength of transition into a new instability regime."
    },
    {
      "name": "transition_direction",
      "type": "string",
      "allowed_values": ["toward_failure", "toward_recovery", "neutral"],
      "description": "Direction of regime transition."
    },
    {
      "name": "regime_separation_margin",
      "type": "float",
      "range": [0.0, 1.0],
      "description": "Degree of separation between current and adjacent regimes."
    },
    {
      "name": "transition_uncertainty",
      "type": "float",
      "range": [0.0, 1.0],
      "description": "Uncertainty in transition interpretation."
    },
    {
      "name": "transition_velocity",
      "type": "float",
      "range": [0.0, 1.0],
      "description": "Speed of transition between regimes."
    }
  ],
  "intervention_signals": [
    {
      "name": "intervention_leverage_score",
      "type": "float",
      "range": [0.0, 1.0],
      "description": "Potential impact of the chosen intervention on system stability."
    },
    {
      "name": "intervention_alignment_score",
      "type": "float",
      "range": [0.0, 1.0],
      "description": "Degree to which intervention fits the actual system needs."
    },
    {
      "name": "rescue_window_width",
      "type": "float",
      "range": [0.0, 1.0],
      "description": "Remaining temporal window in which meaningful rescue is possible."
    },
    {
      "name": "pathway_divergence_margin",
      "type": "float",
      "range": [0.0, 1.0],
      "description": "Outcome separation between leading intervention pathways."
    },
    {
      "name": "intervention_competition_ratio",
      "type": "float",
      "range": [0.0, 1.0],
      "description": "Relative strength of competing intervention paths."
    },
    {
      "name": "primary_intervention_path",
      "type": "string",
      "description": "First candidate intervention path."
    },
    {
      "name": "secondary_intervention_path",
      "type": "string",
      "description": "Second candidate intervention path."
    },
    {
      "name": "intervention_uncertainty",
      "type": "float",
      "range": [0.0, 1.0],
      "description": "Uncertainty around intervention selection."
    },
    {
      "name": "pathway_switch_velocity",
      "type": "float",
      "range": [0.0, 1.0],
      "description": "Speed at which optimal control preference changes across pathways."
    },
    {
      "name": "minimal_intervention_path",
      "type": "string",
      "description": "Optimal minimal intervention path for the scenario."
    }
  ],
  "control_signals": [
    {
      "name": "control_sequence_alignment_score",
      "type": "float",
      "range": [0.0, 1.0],
      "description": "How well the chosen control sequence matches the evolving system."
    },
    {
      "name": "control_horizon",
      "type": "integer",
      "range": [0, 10],
      "description": "Number of effective control steps in the sequence."
    },
    {
      "name": "feedback_response_score",
      "type": "float",
      "range": [0.0, 1.0],
      "description": "How well the controller interprets incoming feedback."
    },
    {
      "name": "intervention_timing_score",
      "type": "float",
      "range": [0.0, 1.0],
      "description": "How well the intervention lands within the viable timing window."
    },
    {
      "name": "adaptation_latency",
      "type": "integer",
      "range": [0, 20],
      "description": "Delay between system change and controller adaptation."
    },
    {
      "name": "control_stability_margin",
      "type": "float",
      "range": [0.0, 1.0],
      "description": "Durability of stability after control is applied."
    },
    {
      "name": "sequence_divergence_margin",
      "type": "float",
      "range": [0.0, 1.0],
      "description": "Difference between the chosen control sequence and the next-best sequence."
    },
    {
      "name": "controller_confidence",
      "type": "float",
      "range": [0.0, 1.0],
      "description": "Controller confidence in the chosen control sequence."
    },
    {
      "name": "recovery_consistency_score",
      "type": "float",
      "range": [0.0, 1.0],
      "description": "Whether recovery remains coherent across time."
    },
    {
      "name": "control_recalibration_count",
      "type": "integer",
      "range": [0, 20],
      "description": "Number of times the controller revised its plan."
    },
    {
      "name": "terminal_pathway_state",
      "type": "string",
      "allowed_values": [
        "stabilized",
        "partially_stabilized",
        "unstable_recovery",
        "relapse",
        "irreversible_collapse"
      ],
      "description": "Final system state after the control sequence."
    },
    {
      "name": "feedback_noise_ratio",
      "type": "float",
      "range": [0.0, 1.0],
      "description": "Noise present in observed feedback."
    },
    {
      "name": "controller_oscillation_score",
      "type": "float",
      "range": [0.0, 1.0],
      "description": "Degree of over-correction or unstable oscillation in control."
    },
    {
      "name": "rollback_trigger_count",
      "type": "integer",
      "range": [0, 20],
      "description": "Number of times the controller had to abandon or reverse a policy."
    }
  ],
  "counterfactual_signals": [
    {
      "name": "optimal_policy_score",
      "type": "float",
      "range": [0.0, 1.0],
      "description": "Quality of the truly best available control policy."
    },
    {
      "name": "selected_policy_score",
      "type": "float",
      "range": [0.0, 1.0],
      "description": "Quality of the selected or predicted policy."
    },
    {
      "name": "counterfactual_outcome_score",
      "type": "float",
      "range": [0.0, 1.0],
      "description": "Outcome quality under the key alternative policy."
    },
    {
      "name": "counterfactual_stability_margin",
      "type": "float",
      "range": [0.0, 1.0],
      "description": "Stability margin under the key alternative policy."
    },
    {
      "name": "counterfactual_trajectory_shift",
      "type": "float",
      "range": [-1.0, 1.0],
      "description": "Trajectory shift under the key alternative policy."
    },
    {
      "name": "counterfactual_divergence_time",
      "type": "float",
      "range": [0.0, 1.0],
      "description": "Time until the chosen and alternative policies meaningfully diverge."
    },
    {
      "name": "counterfactual_failure_risk",
      "type": "float",
      "range": [0.0, 1.0],
      "description": "Risk that the selected policy fails relative to a superior alternative."
    }
  ],
  "policy_signals": [
    {
      "name": "policy_regret",
      "type": "float",
      "range": [0.0, 1.0],
      "description": "Difference in quality between the selected policy and the optimal policy."
    },
    {
      "name": "policy_robustness",
      "type": "float",
      "range": [0.0, 1.0],
      "description": "How well the selected policy remains valid under perturbation or change."
    },
    {
      "name": "policy_fragility_index",
      "type": "float",
      "range": [0.0, 1.0],
      "description": "Sensitivity of the selected policy to small changes in the scenario."
    },
    {
      "name": "policy_stability_delta",
      "type": "float",
      "range": [-1.0, 1.0],
      "description": "Difference in terminal stability between selected and optimal policy."
    },
    {
      "name": "policy_confidence_gap",
      "type": "float",
      "range": [0.0, 1.0],
      "description": "Gap between controller confidence and actual policy quality."
    }
  ],
  "adversarial_signals": [
    {
      "name": "deceptive_signal_score",
      "type": "float",
      "range": [0.0, 1.0],
      "description": "Strength of misleading evidence favoring a suboptimal path."
    },
    {
      "name": "local_improvement_score",
      "type": "float",
      "range": [0.0, 1.0],
      "description": "Short-term apparent success after intervention."
    },
    {
      "name": "delayed_failure_risk",
      "type": "float",
      "range": [0.0, 1.0],
      "description": "Probability that early improvement leads to later collapse."
    },
    {
      "name": "signal_conflict_score",
      "type": "float",
      "range": [0.0, 1.0],
      "description": "Degree of contradiction across subsystem feedback signals."
    },
    {
      "name": "short_term_gain_long_term_loss_flag",
      "type": "integer",
      "range": [0, 1],
      "description": "Binary marker for scenarios where early gains conceal later failure."
    }
  ],
  "perturbation_signals": [
    {
      "name": "perturbation_radius",
      "type": "float",
      "range": [0.0, 1.0],
      "description": "Magnitude of scenario perturbation or stress."
    },
    {
      "name": "collapse_trigger",
      "type": "string",
      "description": "Primary trigger that pushes the system toward collapse."
    }
  ],
  "recovery_signals": [
    {
      "name": "recovery_distance",
      "type": "float",
      "range": [0.0, 1.0],
      "description": "Distance from current state to a viable recovery basin."
    },
    {
      "name": "recovery_gradient",
      "type": "float",
      "range": [-1.0, 1.0],
      "description": "Direction and strength of movement toward recovery."
    },
    {
      "name": "return_feasibility",
      "type": "float",
      "range": [0.0, 1.0],
      "description": "Feasibility of returning to a stable regime."
    }
  ],
  "delta_signals": [
    {
      "name": "delta_infection_load",
      "type": "float",
      "range": [-1.0, 1.0],
      "description": "Change in infection_load across the scenario."
    },
    {
      "name": "delta_buffer_capacity",
      "type": "float",
      "range": [-1.0, 1.0],
      "description": "Change in buffer_capacity across the scenario."
    },
    {
      "name": "delta_lag_burden",
      "type": "float",
      "range": [-1.0, 1.0],
      "description": "Change in lag_burden across the scenario."
    },
    {
      "name": "delta_coupling_stress",
      "type": "float",
      "range": [-1.0, 1.0],
      "description": "Change in coupling_stress across the scenario."
    }
  ],
  "outcome_fields": [
    {
      "name": "stabilization_success",
      "type": "integer",
      "range": [0, 1],
      "description": "Whether the scenario ends in successful stabilization."
    },
    {
      "name": "label_sepsis_transition",
      "type": "integer",
      "range": [0, 1],
      "description": "Binary benchmark label for optimal robust control success."
    }
  ],
  "withheld_in_tester": [
    "stabilization_success",
    "label_sepsis_transition"
  ],
  "row_schema_order": [
    "scenario_id",
    "infection_load",
    "buffer_capacity",
    "lag_burden",
    "coupling_stress",
    "drift_gradient",
    "drift_velocity",
    "drift_acceleration",
    "boundary_distance",
    "secondary_boundary_distance",
    "boundary_competition_ratio",
    "boundary_uncertainty",
    "trajectory_uncertainty",
    "regime_confidence",
    "regime_transition_score",
    "transition_direction",
    "regime_separation_margin",
    "transition_uncertainty",
    "transition_velocity",
    "intervention_leverage_score",
    "intervention_alignment_score",
    "rescue_window_width",
    "pathway_divergence_margin",
    "intervention_competition_ratio",
    "primary_intervention_path",
    "secondary_intervention_path",
    "intervention_uncertainty",
    "pathway_switch_velocity",
    "control_sequence_alignment_score",
    "control_horizon",
    "feedback_response_score",
    "intervention_timing_score",
    "adaptation_latency",
    "control_stability_margin",
    "sequence_divergence_margin",
    "controller_confidence",
    "recovery_consistency_score",
    "control_recalibration_count",
    "terminal_pathway_state",
    "feedback_noise_ratio",
    "controller_oscillation_score",
    "rollback_trigger_count",
    "perturbation_radius",
    "collapse_trigger",
    "recovery_distance",
    "recovery_gradient",
    "return_feasibility",
    "optimal_policy_score",
    "selected_policy_score",
    "counterfactual_outcome_score",
    "counterfactual_stability_margin",
    "counterfactual_trajectory_shift",
    "counterfactual_divergence_time",
    "counterfactual_failure_risk",
    "policy_regret",
    "policy_robustness",
    "policy_fragility_index",
    "policy_stability_delta",
    "policy_confidence_gap",
    "deceptive_signal_score",
    "local_improvement_score",
    "delayed_failure_risk",
    "signal_conflict_score",
    "short_term_gain_long_term_loss_flag",
    "delta_infection_load",
    "delta_buffer_capacity",
    "delta_lag_burden",
    "delta_coupling_stress",
    "trajectory_shift",
    "minimal_intervention_path",
    "stabilization_success",
    "label_sepsis_transition"
  ],
  "tester_row_schema_order": [
    "scenario_id",
    "infection_load",
    "buffer_capacity",
    "lag_burden",
    "coupling_stress",
    "drift_gradient",
    "drift_velocity",
    "drift_acceleration",
    "boundary_distance",
    "secondary_boundary_distance",
    "boundary_competition_ratio",
    "boundary_uncertainty",
    "trajectory_uncertainty",
    "regime_confidence",
    "regime_transition_score",
    "transition_direction",
    "regime_separation_margin",
    "transition_uncertainty",
    "transition_velocity",
    "intervention_leverage_score",
    "intervention_alignment_score",
    "rescue_window_width",
    "pathway_divergence_margin",
    "intervention_competition_ratio",
    "primary_intervention_path",
    "secondary_intervention_path",
    "intervention_uncertainty",
    "pathway_switch_velocity",
    "control_sequence_alignment_score",
    "control_horizon",
    "feedback_response_score",
    "intervention_timing_score",
    "adaptation_latency",
    "control_stability_margin",
    "sequence_divergence_margin",
    "controller_confidence",
    "recovery_consistency_score",
    "control_recalibration_count",
    "terminal_pathway_state",
    "feedback_noise_ratio",
    "controller_oscillation_score",
    "rollback_trigger_count",
    "perturbation_radius",
    "collapse_trigger",
    "recovery_distance",
    "recovery_gradient",
    "return_feasibility",
    "optimal_policy_score",
    "selected_policy_score",
    "counterfactual_outcome_score",
    "counterfactual_stability_margin",
    "counterfactual_trajectory_shift",
    "counterfactual_divergence_time",
    "counterfactual_failure_risk",
    "policy_regret",
    "policy_robustness",
    "policy_fragility_index",
    "policy_stability_delta",
    "policy_confidence_gap",
    "deceptive_signal_score",
    "local_improvement_score",
    "delayed_failure_risk",
    "signal_conflict_score",
    "short_term_gain_long_term_loss_flag",
    "delta_infection_load",
    "delta_buffer_capacity",
    "delta_lag_burden",
    "delta_coupling_stress",
    "trajectory_shift",
    "minimal_intervention_path"
  ]
}