{"id":"W2974296394","doi":"10.1016/j.jacc.2019.07.077","title":"Cardiogenic Shock Classification to Predict Mortality in the Cardiac Intensive Care Unit","year":2019,"lang":"en","type":"article","venue":"Journal of the American College of Cardiology","topic":"Mechanical Circulatory Support Devices","field":"Engineering","cited_by":540,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta Hospital; Alberta Hospital Edmonton","funders":"","keywords":"Medicine; Cardiogenic shock; Coronary care unit; Internal medicine; Odds ratio; Cardiology; Intensive care unit; Confidence interval; Population; Shock (circulatory); Myocardial infarction","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":[0.0008570093,0.0005297208,0.00044563,0.001373853,0.0004352944,0.001228777,0.0005168545,0.0007130346,0.003626155],"category_scores_gemma":[0.003078056,0.0001569418,0.000719315,0.0005781383,0.0002477069,0.0005595581,0.0007201168,0.0009937955,0.0006255634],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004289013,"about_ca_system_score_gemma":0.0007725879,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00206869,"about_ca_topic_score_gemma":0.002870503,"domain_scores_codex":[0.999589,0.0001152281,0.00006336677,0.00004952695,0.0000707128,0.0001122129],"domain_scores_gemma":[0.9981114,0.0005311421,0.0004212645,0.00007249615,0.0003461596,0.0005175266],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004097657,0.00006507702,0.9959431,0.00001135401,0.00006546082,0.00006639879,0.00002602253,0.0001902382,0.0001984466,0.00005391341,0.0006032918,0.002366925],"study_design_scores_gemma":[0.00005289045,0.0003223407,0.9933394,0.00004444327,0.0001172515,0.0002601217,0.0003926732,0.004641612,0.0001942719,0.0002151791,0.0004063499,0.00001346995],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962829,0.0004973761,0.0003706461,0.0002562237,0.0001286241,0.00002678657,0.000556876,0.00001226615,0.001868347],"genre_scores_gemma":[0.9985188,0.000112528,0.000215254,0.00006529101,0.00007268757,0.00001721591,0.0006146335,0.000004411527,0.0003791675],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003626155,"threshold_uncertainty_score":0.01213074,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02303718055436831,"score_gpt":0.2644528826764467,"score_spread":0.2414157021220784,"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."}}