{"id":"W4385976872","doi":"10.1016/j.resplu.2023.100447","title":"Predicting survival post-cardiac arrest: An observational cohort study","year":2023,"lang":"en","type":"article","venue":"Resuscitation Plus","topic":"Cardiac Arrest and Resuscitation","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences Centre; St. Michael's Hospital; Public Health Ontario; University of Toronto; Sunnybrook Health Science Centre","funders":"Canadian Institutes of Health Research; Institute of Circulatory and Respiratory Health; Laerdal Foundation for Acute Medicine; Scheme for Promotion of Academic and Research Collaboration; Defence Research and Development Canada; National Heart, Lung, and Blood Institute; Heart and Stroke Foundation of Canada; National Institute of Neurological Disorders and Stroke; American Heart Association","keywords":"Medicine; Return of spontaneous circulation; Logistic regression; Ordinal regression; Retrospective cohort study; Modified Rankin Scale; Emergency medicine; Cohort; Observational study; Survival analysis; Internal medicine; Cardiopulmonary resuscitation; Resuscitation; Ischemic stroke; Statistics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002517315,0.0004178645,0.0004065369,0.0005956006,0.0007016514,0.0008011241,0.0006676294,0.0005058316,0.001049251],"category_scores_gemma":[0.005953657,0.0003468723,0.0006680924,0.001129644,0.0003696573,0.0005022309,0.0006526125,0.0009991156,0.0002448565],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0010792,"about_ca_system_score_gemma":0.001876553,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03871528,"about_ca_topic_score_gemma":0.05191708,"domain_scores_codex":[0.9987409,0.0003507587,0.0001512292,0.0003455811,0.0002384832,0.0001731538],"domain_scores_gemma":[0.9958424,0.0008056816,0.001353153,0.0007239627,0.0006881122,0.0005867574],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009940912,0.00004633525,0.9990336,0.000006939144,0.00006533308,0.000032038,0.00005985743,0.00004520517,0.00004347513,0.00001271766,0.0001506402,0.0004044594],"study_design_scores_gemma":[0.00003644581,0.0002484248,0.9979495,0.00002132818,0.00009556241,0.0001631179,0.0002403775,0.0009002061,0.00003190569,0.00003103378,0.0002728381,0.000009277365],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987226,0.00007536294,0.0001542827,0.00005080672,0.000007441801,0.00003195788,0.0008093452,0.000003328033,0.0001447492],"genre_scores_gemma":[0.9983978,0.00008739985,0.0002138198,0.00003641926,0.00001237467,0.00003222693,0.001158235,0.000002334912,0.00005941974],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03871528,"threshold_uncertainty_score":0.07697988,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05299668024428842,"score_gpt":0.3353179949631029,"score_spread":0.2823213147188144,"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."}}