{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001593777,0.0001979259,0.0003867503,0.000317899,0.0002938083,0.00007999677,0.0001000728,0.0001139586,0.00002992359],"category_scores_gemma":[0.0008798864,0.0001873943,0.0001712411,0.00108832,0.00008633408,0.0003915965,0.00005093705,0.0002292052,0.0002826661],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001790578,"about_ca_system_score_gemma":0.0003266152,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002947852,"about_ca_topic_score_gemma":0.0001325109,"domain_scores_codex":[0.9972661,0.0002825967,0.0004623149,0.0005030856,0.001140485,0.0003454919],"domain_scores_gemma":[0.9982019,0.0003897082,0.0001384949,0.0004106619,0.000617203,0.0002420277],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003059122,0.0001555265,0.9913623,0.00006557471,0.0002142961,0.00003666716,0.002981674,0.001323274,0.001086292,0.0007193686,0.001153813,0.0005953186],"study_design_scores_gemma":[0.001501374,0.0002177313,0.984665,0.00004882729,0.0001770829,6.81942e-7,0.008388164,0.004314352,0.00002194535,0.0002007376,0.0002780618,0.000186069],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9874631,0.00002188225,0.00009341921,0.001107051,0.006618685,0.0015714,0.00005842917,0.0005552323,0.002510869],"genre_scores_gemma":[0.9951563,0.00001745932,0.0003345204,0.0001056783,0.001485019,0.0001746058,0.002062513,0.00004751412,0.0006164038],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007693254,"threshold_uncertainty_score":0.7641718,"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."}}