{"id":"W3112549168","doi":"10.1161/circoutcomes.120.006956","title":"Systemic Inflammatory Response Syndrome Is Associated With Increased Mortality Across the Spectrum of Shock Severity in Cardiac Intensive Care Patients","year":2020,"lang":"en","type":"article","venue":"Circulation Cardiovascular Quality and Outcomes","topic":"Sepsis Diagnosis and Treatment","field":"Medicine","cited_by":105,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta Hospital; University of Toronto; Ted Rogers Centre for Heart Research; University Health Network","funders":"","keywords":"Medicine; Systemic inflammatory response syndrome; Cardiogenic shock; Internal medicine; Hazard ratio; Intensive care unit; Shock (circulatory); Proportional hazards model; Acute coronary syndrome; Population; Odds ratio; Coronary care unit; Cardiology; Confidence interval; Myocardial infarction; Sepsis","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":[0.000578367,0.0002690386,0.0003599054,0.0005331978,0.0003390035,0.0004269162,0.0002250888,0.0002645941,0.001844729],"category_scores_gemma":[0.002008635,0.0001531347,0.0003695865,0.0007365465,0.0002378084,0.0002635605,0.0004588276,0.0006389045,0.0001362609],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002094489,"about_ca_system_score_gemma":0.0003162333,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001146922,"about_ca_topic_score_gemma":0.001807458,"domain_scores_codex":[0.9993953,0.0001811034,0.00007943654,0.0001135941,0.0001260901,0.0001045325],"domain_scores_gemma":[0.9976153,0.0002521944,0.001589685,0.0000650496,0.0001618781,0.0003159461],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004142637,0.000007978324,0.9991648,0.00000691875,0.00002698801,0.00004753417,0.00001049511,0.00001543438,0.00008367167,0.000006662371,0.00005681071,0.0005312882],"study_design_scores_gemma":[0.000003389594,0.00003300524,0.9993619,0.000006903853,0.00001915785,0.0002942615,0.00004895316,0.0001352332,0.00002242487,0.00001412881,0.00005903797,0.000001626106],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985818,0.0006656496,0.0001061141,0.0001208824,0.00001069273,0.000006842919,0.0001801145,0.000004088916,0.0003239399],"genre_scores_gemma":[0.9995157,0.0001512051,0.00007179603,0.00003137521,0.00002898347,0.000005036,0.0001577647,7.285984e-7,0.00003735672],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001844729,"threshold_uncertainty_score":0.006171227,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06629630620092733,"score_gpt":0.3230854752750654,"score_spread":0.2567891690741381,"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."}}