{"id":"W2513217215","doi":"10.1016/j.amjcard.2016.08.024","title":"Meta-Analysis Comparing Established Risk Prediction Models (EuroSCORE II, STS Score, and ACEF Score) for Perioperative Mortality During Cardiac Surgery","year":2016,"lang":"en","type":"review","venue":"The American Journal of Cardiology","topic":"Cardiac Valve Diseases and Treatments","field":"Medicine","cited_by":148,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Canadian Association for the Study of the Liver; Society of Thoracic Surgeons","keywords":"Medicine; EuroSCORE; Perioperative; Meta-analysis; Framingham Risk Score; Internal medicine; Cardiac surgery; Confounding; Predictive modelling; Ejection fraction; Cardiology; Surgery; Statistics; Heart failure","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005062625,0.0028321,0.01147222,0.002449247,0.0003832825,0.001662991,0.001622647,0.001409033,0.003192557],"category_scores_gemma":[0.01314524,0.001047008,0.02874332,0.002756921,0.000323624,0.001106897,0.0009790419,0.002084587,0.0002753111],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001020683,"about_ca_system_score_gemma":0.001457142,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00433359,"about_ca_topic_score_gemma":0.01166582,"domain_scores_codex":[0.9973432,0.001155191,0.0007690207,0.0003804624,0.0002451379,0.0001070185],"domain_scores_gemma":[0.9941944,0.004470793,0.0007244242,0.0002268249,0.000308489,0.00007505724],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.004524475,0.00005414512,0.005638337,0.1364102,0.8276327,0.00009344024,0.00004831849,0.0004680702,0.0002045617,0.0001361241,0.000809658,0.02398002],"study_design_scores_gemma":[0.0008484073,0.0002624069,0.004027829,0.006311186,0.9866019,0.00006319703,0.0000251607,0.0001589731,0.00008495448,0.0002239262,0.001371197,0.00002092698],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.006016567,0.9925151,0.0005178828,0.0001381685,0.0001755471,0.00007730068,0.0003678084,0.00001863295,0.0001730198],"genre_scores_gemma":[0.1527532,0.841713,0.002389182,0.0009587994,0.000454994,0.0003045191,0.00094702,0.00003003475,0.0004491833],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01147222,"threshold_uncertainty_score":0.02677405,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1506892330247218,"score_gpt":0.3907818555090501,"score_spread":0.2400926224843283,"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."}}