{"id":"W3101331450","doi":"10.1161/circ.142.suppl_4.329","title":"Abstract 329: Predicting Survival from Out-of-hospital Cardiac Arrest","year":2020,"lang":"en","type":"article","venue":"Circulation","topic":"Cardiac Arrest and Resuscitation","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Michael's Hospital; University of Toronto; Sunnybrook Health Science Centre","funders":"","keywords":"Medicine; Return of spontaneous circulation; Receiver operating characteristic; Odds ratio; Cardiopulmonary resuscitation; Internal medicine; Confidence interval; Logistic regression; Cardiology; Emergency medicine; Resuscitation","routes":{"ca_aff":true,"ca_fund":false,"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":[0.00116591,0.0004836056,0.0003415286,0.0008484514,0.000170297,0.0006909368,0.0003792423,0.0003980565,0.003848557],"category_scores_gemma":[0.006895683,0.0001136799,0.0004141104,0.0005115467,0.0001573021,0.0003871842,0.0003334628,0.0005589739,0.0009625623],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001735354,"about_ca_system_score_gemma":0.000356646,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000822266,"about_ca_topic_score_gemma":0.0006954869,"domain_scores_codex":[0.9995168,0.0001800024,0.00006880035,0.00008132952,0.00009991469,0.00005308646],"domain_scores_gemma":[0.9966035,0.001343195,0.001241901,0.0001099537,0.0003670282,0.0003344428],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001579269,0.00002833141,0.9950683,0.00002317238,0.00004564129,0.00003915932,0.000009575424,0.0006029876,0.0001467155,0.00001955037,0.0003268362,0.003531798],"study_design_scores_gemma":[0.00002105762,0.0003144069,0.9834715,0.00004029862,0.00009286736,0.0006448053,0.00006281593,0.01414654,0.0003838612,0.0002243216,0.0005862947,0.00001118519],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954563,0.0002688878,0.001631581,0.0002186695,0.00003218915,0.00001629899,0.00159403,0.00003611249,0.0007459986],"genre_scores_gemma":[0.9977673,0.0001151868,0.0007223339,0.00001615882,0.00003226179,0.00001264222,0.00114363,0.000005035156,0.0001854704],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003848557,"threshold_uncertainty_score":0.01287466,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02288820735074203,"score_gpt":0.2654433335138363,"score_spread":0.2425551261630943,"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."}}