{"id":"W2786238001","doi":"10.1136/bmj.j5745","title":"Development and validation of outcome prediction models for aneurysmal subarachnoid haemorrhage: the SAHIT multinational cohort study","year":2018,"lang":"en","type":"article","venue":"BMJ","topic":"Intracranial Aneurysms: Treatment and Complications","field":"Medicine","cited_by":282,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Michael's Hospital; University of Toronto","funders":"Canadian Institutes of Health Research; King's College London; Universitätsspital Zürich; Montreal Neurological Institute and Hospital; University of Toronto; Inselspital, Universitätsspital Bern; McGill University","keywords":"Medicine; Confidence interval; Observational study; Glasgow Outcome Scale; Cohort; Subarachnoid hemorrhage; Logistic regression; Clinical trial; Receiver operating characteristic; Prospective cohort study; Neuroimaging; Cohort study; Internal medicine; Glasgow Coma Scale; Surgery","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":[0.04307116,0.00154305,0.001085598,0.001259448,0.0006682389,0.00132073,0.001940241,0.0007860344,0.0009204263],"category_scores_gemma":[0.05419023,0.0005548021,0.002075569,0.001146917,0.0005239642,0.0007157606,0.002055981,0.001592403,0.0004197023],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001168818,"about_ca_system_score_gemma":0.002437555,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02027849,"about_ca_topic_score_gemma":0.01673152,"domain_scores_codex":[0.9929098,0.005311779,0.0003586345,0.0006489937,0.0005336367,0.0002371748],"domain_scores_gemma":[0.9714305,0.01239559,0.00381452,0.007599943,0.003752276,0.001007231],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003081127,0.0005534299,0.9492107,0.00009460664,0.00200681,0.0002309563,0.0003835269,0.01468874,0.0003748641,0.0004947244,0.006442507,0.02243814],"study_design_scores_gemma":[0.001839492,0.00154427,0.7353366,0.0002770728,0.002234606,0.0005837037,0.0005765965,0.2492592,0.001030687,0.001453,0.00572614,0.0001386152],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.971975,0.000326493,0.01625787,0.0005367546,0.0001071504,0.0006615387,0.009310097,0.0001821537,0.0006428268],"genre_scores_gemma":[0.9468623,0.0002471085,0.02615135,0.000209737,0.00007345896,0.001319816,0.02458859,0.00007055046,0.0004771276],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04307116,"threshold_uncertainty_score":0.2277848,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04994315596447174,"score_gpt":0.3208879015690843,"score_spread":0.2709447456046125,"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."}}