{"id":"W2951646547","doi":"10.1016/j.jtcvs.2019.05.081","title":"Surgical valve selection in the era of transcatheter aortic valve replacement in the Society of Thoracic Surgeons Database","year":2019,"lang":"en","type":"article","venue":"Journal of Thoracic and Cardiovascular Surgery","topic":"Cardiac Valve Diseases and Treatments","field":"Medicine","cited_by":82,"is_retracted":false,"has_abstract":false,"ca_institutions":"Health Sciences Centre; University of Toronto; Sunnybrook Health Science Centre","funders":"Canadian Institutes of Health Research; Heart and Stroke Foundation of Canada","keywords":"Medicine; Aortic valve replacement; Selection (genetic algorithm); Database; Valve replacement; Surgery; Cardiology; Computer science; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0006500349,0.0001643358,0.0005909821,0.0015276,0.000462011,0.001293099,0.0005082585,0.0005468347,0.002917768],"category_scores_gemma":[0.003864083,0.0002079735,0.0006377815,0.003103996,0.0002300364,0.00100028,0.00071813,0.0007939303,0.0003687805],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004978402,"about_ca_system_score_gemma":0.0009262339,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004766162,"about_ca_topic_score_gemma":0.01133981,"domain_scores_codex":[0.9989164,0.0001377985,0.0002644229,0.0002975091,0.0002018523,0.0001820013],"domain_scores_gemma":[0.9966072,0.0006483907,0.001535285,0.0002217182,0.0003827606,0.0006045687],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002765462,0.0000232437,0.9946793,0.0000806995,0.0001673591,0.0002808508,0.00007134187,0.00008032458,0.0001781985,0.0001389489,0.002075318,0.001947766],"study_design_scores_gemma":[0.00002299374,0.00002990016,0.9964842,0.00005467509,0.00009228521,0.001038641,0.0003932779,0.0003275984,0.00007939255,0.0001453178,0.001320414,0.00001122655],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9697434,0.002411015,0.0002093996,0.0004524543,0.00007035559,0.00002826887,0.02394819,0.00001404673,0.003122827],"genre_scores_gemma":[0.9847847,0.0009368795,0.000233553,0.0002574528,0.00007785163,0.00002937777,0.01337276,0.000009508956,0.0002978477],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004766162,"threshold_uncertainty_score":0.009760916,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01821845757028102,"score_gpt":0.3259962915496217,"score_spread":0.3077778339793407,"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."}}