{"id":"W2148053285","doi":"10.3171/2015.4.jns142753","title":"Neuroimaging characteristics of ruptured aneurysm as predictors of outcome after aneurysmal subarachnoid hemorrhage: pooled analyses of the SAHIT cohort","year":2015,"lang":"en","type":"review","venue":"Journal of neurosurgery","topic":"Intracranial Aneurysms: Treatment and Complications","field":"Medicine","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Ontario; University of Toronto; St. Michael's Hospital","funders":"Canadian Institutes of Health Research; Ontario Ministry of Research and Innovation; Heart and Stroke Foundation of Canada","keywords":"Medicine; Aneurysm; Subarachnoid hemorrhage; Neuroimaging; Glasgow Outcome Scale; Odds ratio; Logistic regression; Confounding; Cohort; Radiology; Intraventricular hemorrhage; Internal medicine; Surgery; Glasgow Coma Scale","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.01742195,0.001488312,0.006585543,0.004003159,0.0003404318,0.002643444,0.001106381,0.001409491,0.001499321],"category_scores_gemma":[0.02432474,0.0008688416,0.01829035,0.004799698,0.0004198766,0.00118898,0.001744615,0.001289726,0.0002575547],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004245771,"about_ca_system_score_gemma":0.000744264,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002792039,"about_ca_topic_score_gemma":0.003606959,"domain_scores_codex":[0.9896522,0.004904074,0.002332586,0.001748126,0.0009373756,0.0004256329],"domain_scores_gemma":[0.9769817,0.01257609,0.005662581,0.002955448,0.001473049,0.0003511638],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.01558048,0.00005249123,0.2419148,0.01822554,0.7099701,0.0002422701,0.0001675344,0.000971119,0.0007502547,0.0001926971,0.001277773,0.01065487],"study_design_scores_gemma":[0.001101544,0.001008837,0.2285063,0.001954789,0.7621935,0.0003479667,0.0002281064,0.001281524,0.0004096144,0.0005720524,0.00232105,0.0000746488],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.5114704,0.4549159,0.008573798,0.0006088007,0.0006656903,0.0005808283,0.02044892,0.0001744318,0.002561238],"genre_scores_gemma":[0.9684045,0.02076295,0.002553554,0.000338735,0.000374292,0.0008453277,0.006122162,0.00008110843,0.0005174358],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.01742195,"threshold_uncertainty_score":0.09213716,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05571031792026759,"score_gpt":0.3388253078339731,"score_spread":0.2831149899137055,"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."}}