{ "repo_name": "clinical-five-node-mof-cascade-boundary-v1.0", "repo_path": "ClarusC64/clinical-five-node-mof-cascade-boundary-v1.0", "version": "v1.0", "conceptual_upgrade": "Closed-Loop Control Geometry", "concept_summary": "v1.0 evaluates whether a model can select and execute a complete closed-loop control sequence across a five-node multi-organ-failure cascade under live feedback, adaptive timing, and durable recovery constraints.", "domain": "clinical", "structure": "five-node-cascade", "variables": [ "metabolic_stress", "perfusion_deficit", "renal_strain", "hepatic_drift", "buffer_capacity" ], "failure_type": "mof_boundary", "label_column": "label_mof_boundary", "primary_metric": "recall_correct_control_sequence_selection", "secondary_metric": "false_effective_control_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", "mid_strength_label_rule": "label = 1 if stabilization_success = 1 AND trajectory_shift < -0.10 AND control_sequence_alignment_score >= 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", "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" ], "recovery_signals": [ "recovery_distance", "recovery_gradient", "return_feasibility" ], "perturbation_signals": [ "perturbation_radius", "collapse_trigger" ], "delta_signals": [ "delta_metabolic_stress", "delta_perfusion_deficit", "delta_renal_strain", "delta_hepatic_drift", "delta_buffer_capacity" ], "outcome_fields": [ "stabilization_success", "terminal_pathway_state", "label_mof_boundary" ], "withheld_in_tester": [ "stabilization_success" ], "thresholds": { "control_alignment_threshold": 0.6, "intervention_alignment_threshold": 0.6, "recovery_consistency_threshold": 0.6, "high_uncertainty_threshold": 0.25, "narrow_window_threshold": 0.3, "oscillation_threshold": 0.25, "stable_margin_threshold": 0.6, "trajectory_shift_threshold": -0.1 }, "scorer_entrypoint": "scorer.py", "scorer_mode": "binary_classification_with_closed_loop_control_diagnostics", "reference_metrics": [ "accuracy", "precision", "recall", "f1", "confusion_matrix", "recall_correct_control_sequence_selection", "false_effective_control_rate", "primary_intervention_path_accuracy", "secondary_intervention_path_accuracy", "control_sequence_alignment_accuracy", "control_horizon_error", "feedback_response_accuracy", "intervention_timing_accuracy", "high_uncertainty_control_miss_rate", "narrow_window_control_miss_rate", "adaptation_latency_error", "control_stability_error", "recovery_consistency_error", "recalibration_overuse_rate", "controller_oscillation_misread_rate", "terminal_pathway_state_accuracy" ], "evaluation_diagnostics": [ "primary_intervention_path_accuracy", "secondary_intervention_path_accuracy", "control_sequence_alignment_accuracy", "control_horizon_error", "feedback_response_accuracy", "intervention_timing_accuracy", "high_uncertainty_control_miss_rate", "narrow_window_control_miss_rate", "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" ] }