{ "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", "conceptual_upgrade": "Counterfactual and Adversarial Control Geometry", "concept_summary": "v1.1 evaluates whether a model can identify the optimal control policy under counterfactual alternatives, robustness pressure, and deceptive signal conditions.", "domain": "clinical", "structure": "quad", "variables": [ "infection_load", "buffer_capacity", "lag_burden", "coupling_stress" ], "failure_type": "sepsis_transition", "label_column": "label_sepsis_transition", "primary_metric": "recall_optimal_policy_selection", "secondary_metric": "false_robust_policy_rate", "default_label_rule": "label = 1 if stabilization_success = 1 AND trajectory_shift < -0.10 AND intervention_alignment_score >= 0.60 AND control_sequence_alignment_score >= 0.60 AND recovery_consistency_score >= 0.60 AND policy_regret <= 0.10 AND policy_robustness >= 0.60 AND counterfactual_failure_risk <= 0.30 AND deceptive_signal_score <= 0.50", "mid_strength_label_rule": "label = 1 if stabilization_success = 1 AND trajectory_shift < -0.10 AND control_sequence_alignment_score >= 0.60 AND policy_regret <= 0.10 AND policy_robustness >= 0.60", "relaxed_label_rule": "label = 1 if stabilization_success = 1", "trajectory_signals": [ "drift_gradient", "drift_velocity", "drift_acceleration", "trajectory_shift" ], "boundary_signals": [ "boundary_distance", "secondary_boundary_distance", "boundary_competition_ratio" ], "uncertainty_signals": [ "boundary_uncertainty", "trajectory_uncertainty", "regime_confidence", "transition_uncertainty", "intervention_uncertainty", "controller_confidence", "feedback_noise_ratio" ], "regime_transition_signals": [ "regime_transition_score", "transition_direction", "regime_separation_margin", "transition_velocity" ], "intervention_signals": [ "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", "minimal_intervention_path" ], "control_signals": [ "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" ], "counterfactual_signals": [ "optimal_policy_score", "selected_policy_score", "counterfactual_outcome_score", "counterfactual_stability_margin", "counterfactual_trajectory_shift", "counterfactual_divergence_time", "counterfactual_failure_risk" ], "policy_signals": [ "policy_regret", "policy_robustness", "policy_fragility_index", "policy_stability_delta", "policy_confidence_gap" ], "adversarial_signals": [ "deceptive_signal_score", "local_improvement_score", "delayed_failure_risk", "signal_conflict_score", "short_term_gain_long_term_loss_flag" ], "recovery_signals": [ "recovery_distance", "recovery_gradient", "return_feasibility", "recovery_consistency_score" ], "perturbation_signals": [ "perturbation_radius", "collapse_trigger" ], "delta_signals": [ "delta_infection_load", "delta_buffer_capacity", "delta_lag_burden", "delta_coupling_stress" ], "outcome_fields": [ "stabilization_success", "terminal_pathway_state", "label_sepsis_transition" ], "withheld_in_tester": [ "stabilization_success", "label_sepsis_transition" ], "thresholds": { "trajectory_shift_threshold": -0.10, "intervention_alignment_threshold": 0.60, "control_alignment_threshold": 0.60, "recovery_consistency_threshold": 0.60, "policy_regret_threshold": 0.10, "policy_robustness_threshold": 0.60, "counterfactual_failure_risk_threshold": 0.30, "deceptive_signal_threshold": 0.50, "high_uncertainty_threshold": 0.25, "narrow_window_threshold": 0.30, "oscillation_threshold": 0.25, "stable_margin_threshold": 0.60, "short_term_gain_threshold": 0.60, "delayed_failure_threshold": 0.50, "signal_conflict_threshold": 0.50 }, "scorer_entrypoint": "scorer.py", "scorer_mode": "counterfactual_adversarial_control_evaluation", "reference_metrics": [ "accuracy", "precision", "recall", "f1", "confusion_matrix", "recall_optimal_policy_selection", "false_robust_policy_rate", "optimal_policy_path_accuracy", "primary_intervention_path_accuracy", "secondary_intervention_path_accuracy", "policy_regret_error", "policy_robustness_error", "policy_fragility_error", "policy_stability_delta_error", "policy_confidence_gap_error", "counterfactual_miss_rate", "counterfactual_failure_risk_error", "counterfactual_divergence_time_error", "counterfactual_outcome_error", "high_uncertainty_policy_miss_rate", "narrow_window_policy_miss_rate", "deceptive_policy_selection_rate", "short_term_gain_failure_rate", "signal_conflict_misread_rate", "delayed_failure_misread_rate", "short_term_gain_long_term_loss_flag_accuracy", "control_sequence_alignment_accuracy", "control_horizon_error", "feedback_response_accuracy", "intervention_timing_accuracy", "adaptation_latency_error", "control_stability_error", "recovery_consistency_error", "recalibration_overuse_rate", "controller_oscillation_misread_rate", "terminal_pathway_state_accuracy" ], "evaluation_diagnostics": [ "optimal_policy_path_accuracy", "policy_regret_error", "policy_robustness_error", "policy_fragility_error", "policy_stability_delta_error", "policy_confidence_gap_error", "counterfactual_miss_rate", "counterfactual_failure_risk_error", "counterfactual_divergence_time_error", "counterfactual_outcome_error", "high_uncertainty_policy_miss_rate", "narrow_window_policy_miss_rate", "deceptive_policy_selection_rate", "short_term_gain_failure_rate", "signal_conflict_misread_rate", "delayed_failure_misread_rate", "short_term_gain_long_term_loss_flag_accuracy", "control_sequence_alignment_accuracy", "control_horizon_error", "feedback_response_accuracy", "intervention_timing_accuracy", "adaptation_latency_error", "control_stability_error", "recovery_consistency_error", "recalibration_overuse_rate", "controller_oscillation_misread_rate", "terminal_pathway_state_accuracy" ], "files": [ "data/train.csv", "data/tester.csv", "scorer.py", "benchmark_spec.json", "dataset_schema.json", "README.md" ] }