{"id":"W4293348977","doi":"10.1093/ehjqcco/qcac055","title":"Critical Care Cardiology Trials Network (CCCTN): a cohort profile","year":2022,"lang":"en","type":"article","venue":"European Heart Journal - Quality of Care and Clinical Outcomes","topic":"Sepsis Diagnosis and Treatment","field":"Medicine","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; St. Boniface Hospital; Centre Hospitalier de l’Université de Montréal; McGill University; Centre for Advancing Health Outcomes; University of British Columbia; Imperial College of Toronto; University of Ottawa; Jewish General Hospital; Toronto General Hospital; University of Toronto","funders":"NIH Clinical Center; National Institute on Aging; National Institutes of Health; National Center for Advancing Translational Sciences; Johns Hopkins University","keywords":"Medicine; Clinical trial; Intensive care medicine; Epidemiology; Intensive care; Population; Coronary care unit; Intensive care unit; Heart failure; Emergency medicine; Internal medicine; Myocardial infarction","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.04743992,0.0006393602,0.001624304,0.003082134,0.001915963,0.004044651,0.001832257,0.00186678,0.008784646],"category_scores_gemma":[0.09698179,0.0006235672,0.001371499,0.008223115,0.0007773919,0.002547268,0.004195706,0.002059108,0.002118296],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00293276,"about_ca_system_score_gemma":0.01106663,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00783632,"about_ca_topic_score_gemma":0.01316867,"domain_scores_codex":[0.9517802,0.02175676,0.01166465,0.004865878,0.008430262,0.001502211],"domain_scores_gemma":[0.8790907,0.03416353,0.03738077,0.02120495,0.01855975,0.009600249],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01290496,0.0004576538,0.6813855,0.007192946,0.003423447,0.0007176293,0.001697914,0.0009781203,0.001035286,0.01229967,0.185571,0.09233589],"study_design_scores_gemma":[0.006148989,0.001621675,0.6589352,0.01324491,0.003553026,0.004229526,0.001059465,0.002692905,0.0006004301,0.007133674,0.3004749,0.0003052461],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.3198826,0.06535679,0.05922566,0.04829132,0.004432672,0.06963829,0.3886019,0.0009477616,0.04362294],"genre_scores_gemma":[0.5597246,0.01492573,0.06062267,0.02629424,0.003791434,0.1190839,0.2059164,0.0009299678,0.008711044],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04743992,"threshold_uncertainty_score":0.2508892,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4285880715936002,"score_gpt":0.557061867721224,"score_spread":0.1284737961276238,"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."}}