{"id":"W3084669060","doi":"10.1002/ehf2.12995","title":"Age and Shock Severity Predict Mortality in Cardiac Intensive Care Unit Patients with and without Heart Failure","year":2020,"lang":"en","type":"article","venue":"ESC Heart Failure","topic":"Mechanical Circulatory Support Devices","field":"Engineering","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta Hospital; Alberta Hospital Edmonton","funders":"","keywords":"Medicine; Cardiogenic shock; Coronary care unit; Intensive care unit; Heart failure; Internal medicine; Mortality rate; Proportional hazards model; Population; Logistic regression; Cardiology; Intensive care; Shock (circulatory); Intensive care medicine; 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":[0.0004760608,0.0002695516,0.0002690022,0.0006834936,0.0002935015,0.0004583455,0.0002410422,0.0003712083,0.001489719],"category_scores_gemma":[0.002338476,0.000178943,0.0003282696,0.0005197364,0.000217583,0.0004166517,0.0004658001,0.0005099635,0.0001759565],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002385788,"about_ca_system_score_gemma":0.0002099111,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001915416,"about_ca_topic_score_gemma":0.003217869,"domain_scores_codex":[0.999699,0.00008625671,0.00004974562,0.0000564391,0.00005016476,0.00005841009],"domain_scores_gemma":[0.9987022,0.0002130231,0.0007098779,0.00004622425,0.00008411438,0.0002444393],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002576432,0.000007870281,0.999607,0.000002544441,0.00001158019,0.00001691186,0.00001094257,0.00001373066,0.00002583947,0.000002643046,0.00002765044,0.0002475226],"study_design_scores_gemma":[0.000003043671,0.00003689463,0.9995897,0.000004191178,0.00001035115,0.0001017237,0.00005458344,0.0001405873,0.00001516802,0.00001029423,0.00003208345,0.000001372336],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999429,0.0002167375,0.00003266082,0.0000400186,0.000006320097,0.000003430693,0.000101692,0.00000137775,0.0001687115],"genre_scores_gemma":[0.9997036,0.00005902419,0.00003027592,0.00001736414,0.00001585795,0.000002551242,0.0001356841,3.951195e-7,0.00003515244],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001915416,"threshold_uncertainty_score":0.004983664,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01362094380236536,"score_gpt":0.2240331594790539,"score_spread":0.2104122156766885,"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."}}