{"id":"W4248502779","doi":"10.22541/au.159611588.83627017","title":"Predictors of hospital mortality after surgery for ischemic mitral regurgitation","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Cardiac Valve Diseases and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network","funders":"","keywords":"Medicine; Cardiogenic shock; Mitral valve replacement; Cardiology; Internal medicine; Mitral valve repair; Mitral regurgitation; Myocardial infarction; Surgery; Aortic valve replacement; Heart failure; Mitral valve; Valve replacement; Cardiac surgery; Stenosis","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":[0.0005908019,0.0002215146,0.000222297,0.0004590347,0.0002059255,0.0004079196,0.0002362917,0.0003068159,0.001352614],"category_scores_gemma":[0.003051325,0.0001232267,0.0002616557,0.0003118148,0.0002063023,0.0002212241,0.0003361415,0.0005585878,0.0001369624],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001944144,"about_ca_system_score_gemma":0.000289652,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007425938,"about_ca_topic_score_gemma":0.001081277,"domain_scores_codex":[0.9997242,0.00006748413,0.00004137152,0.00003293918,0.00005990092,0.00007403566],"domain_scores_gemma":[0.9972761,0.0007749668,0.00123618,0.0000506666,0.0001491899,0.0005128499],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006694014,0.00001201203,0.9991209,0.000005111521,0.00001292977,0.00003964454,0.000007992694,0.00002813327,0.00004317667,0.000004212875,0.00004408043,0.0006149671],"study_design_scores_gemma":[0.000008073634,0.00009234235,0.998961,0.000009505276,0.00001740711,0.0004653829,0.00004771621,0.0002661493,0.00005327821,0.000021139,0.00005556258,0.00000244592],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992466,0.0003926385,0.00004398422,0.00008202357,0.000007631222,0.000001915097,0.00007834257,0.000002851655,0.0001440428],"genre_scores_gemma":[0.9996575,0.00008652584,0.0000343684,0.00001531313,0.00001886672,0.000002176191,0.0001564105,7.989923e-7,0.00002800913],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001352614,"threshold_uncertainty_score":0.004524946,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02392808354171623,"score_gpt":0.332380701692832,"score_spread":0.3084526181511157,"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."}}