{"id":"W2044159488","doi":"10.3171/2009.9.jns081645","title":"The impact of therapeutic modality on outcomes following repair of ruptured intracranial aneurysms: an administrative data analysis","year":2009,"lang":"en","type":"article","venue":"Journal of neurosurgery","topic":"Intracranial Aneurysms: Treatment and Complications","field":"Medicine","cited_by":56,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto General Hospital; SickKids Foundation; University of Toronto; Sunnybrook Health Science Centre; Hospital for Sick Children; Toronto Western Hospital","funders":"","keywords":"Medicine; Propensity score matching; Subarachnoid hemorrhage; Hazard ratio; Aneurysm; Confounding; Surgery; Retrospective cohort study; Endovascular coiling; Cohort; Subgroup analysis; Proportional hazards model; Population; Clipping (morphology); Endovascular treatment; Internal medicine; Confidence interval","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004113604,0.0002720988,0.0005301517,0.001455699,0.0004641734,0.0009489381,0.000934102,0.0003335191,0.0007006096],"category_scores_gemma":[0.01669839,0.0003449816,0.001511418,0.003370128,0.000485588,0.0003442037,0.0006349195,0.0004419155,0.00009725738],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003172681,"about_ca_system_score_gemma":0.002920368,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2442952,"about_ca_topic_score_gemma":0.24807,"domain_scores_codex":[0.9956846,0.001656829,0.0004830142,0.0005287689,0.001283404,0.0003634315],"domain_scores_gemma":[0.9798268,0.004619126,0.01112409,0.001946166,0.001698875,0.0007848996],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001844592,0.00001361177,0.9983473,0.0000226595,0.0003197743,0.00003428665,0.00003555417,0.0001173187,0.00004778063,0.0000167641,0.0001162683,0.0007442614],"study_design_scores_gemma":[0.00001101701,0.00003190257,0.999274,0.000007898911,0.0001135837,0.00004220012,0.00002988268,0.0003394606,0.00003765716,0.000009647318,0.00009921537,0.000003525224],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951763,0.0004299714,0.0002701199,0.0001280332,0.000005348976,0.00002733633,0.003646268,0.000006764538,0.0003099259],"genre_scores_gemma":[0.9977081,0.0001504613,0.0001943435,0.00001915225,0.000007684874,0.00001081859,0.001860991,0.000002058073,0.00004643925],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2442952,"threshold_uncertainty_score":0.4857466,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08219447206900148,"score_gpt":0.3901159443729262,"score_spread":0.3079214723039247,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}