{"id":"W3213751426","doi":"10.1053/j.jvca.2021.11.019","title":"Predicting the Hard to Predict: How Mitral Regurgitation, General Anesthesia, and 3D TEE Can Form a Reliable Team","year":2021,"lang":"en","type":"letter","venue":"Journal of Cardiothoracic and Vascular Anesthesia","topic":"Cardiac Valve Diseases and Treatments","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval; Institut universitaire de cardiologie et de pneumologie de Québec","funders":"","keywords":"Medicine; Mitral regurgitation; Mitral valve repair; Cardiology; Mitral valve; Internal medicine; Perioperative; Heart failure; Surgery","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":[0.003829597,0.000598011,0.001188649,0.001146451,0.003192524,0.003157462,0.001083714,0.02130247,0.004277191],"category_scores_gemma":[0.04868201,0.0006566234,0.0008592096,0.0004406873,0.001751681,0.005342384,0.001161599,0.02728044,0.004084437],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002898362,"about_ca_system_score_gemma":0.003677826,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005540727,"about_ca_topic_score_gemma":0.01073643,"domain_scores_codex":[0.9969864,0.001194168,0.0005532011,0.0003168676,0.0006082143,0.0003411031],"domain_scores_gemma":[0.9774886,0.01280445,0.001056515,0.0005877916,0.004463445,0.003599163],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001536604,0.0002781144,0.0273638,0.0000975367,0.00008307894,0.02618363,0.0006471444,0.0005144172,0.0005604019,0.003421161,0.8856242,0.05507282],"study_design_scores_gemma":[0.0006402737,0.0009043548,0.0345322,0.003256382,0.0003505745,0.1208502,0.009940392,0.01855874,0.001354069,0.1602747,0.648619,0.0007192203],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.002343962,0.0007518068,0.0005074936,0.9848607,0.008663211,0.00001461347,0.0000337418,0.00002880936,0.002795727],"genre_scores_gemma":[0.04289768,0.002176572,0.00379315,0.8665261,0.07956032,0.00006511821,0.00008380151,0.00006412547,0.004833119],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.02130247,"threshold_uncertainty_score":0.02102923,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01146891224704863,"score_gpt":0.2702688567051075,"score_spread":0.2587999444580589,"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."}}