{"id":"W4212964713","doi":"10.1016/j.athoracsur.2022.02.001","title":"WITHDRAWN: Mechanical mitral valves and INR: how low can you go?","year":2022,"lang":"en","type":"article","venue":"The Annals of Thoracic Surgery","topic":"Cardiac Valve Diseases and Treatments","field":"Medicine","cited_by":0,"is_retracted":true,"has_abstract":false,"ca_institutions":"Sunnybrook Health Science Centre; Health Sciences Centre","funders":"","keywords":"Cardiology; Internal medicine; Mitral valve; Mechanical heart; Medicine; Biomedical engineering","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":[0.00351679,0.000961522,0.002507127,0.001214242,0.001845891,0.003890742,0.001811647,0.01407471,0.02126504],"category_scores_gemma":[0.04145883,0.0004916729,0.001822174,0.001519518,0.001298359,0.002400677,0.001131394,0.01670969,0.01797015],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00227942,"about_ca_system_score_gemma":0.006400412,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0067603,"about_ca_topic_score_gemma":0.01176277,"domain_scores_codex":[0.9962764,0.0009239219,0.0009454137,0.0002386899,0.001289639,0.0003258204],"domain_scores_gemma":[0.9830462,0.006531192,0.001432507,0.0003824688,0.006255541,0.002352061],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0003741583,0.00002675082,0.001109855,0.0004987943,0.00006785689,0.0003908549,0.00003556581,0.00002425902,0.00009410526,0.000713639,0.9663726,0.0302915],"study_design_scores_gemma":[0.0007555491,0.0001517858,0.005841517,0.002869636,0.0002945855,0.001508849,0.0002755049,0.0001303086,0.0002819888,0.004082988,0.9836892,0.0001179897],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.00058816,0.02469172,0.000146868,0.8136643,0.1535215,0.00003879204,0.001079637,0.0000832045,0.006185865],"genre_scores_gemma":[0.009118101,0.02076642,0.0005694141,0.7741371,0.1760074,0.00008702411,0.0008033208,0.00006713424,0.01844433],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02126504,"threshold_uncertainty_score":0.07113862,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06592453227539316,"score_gpt":0.3850798933035858,"score_spread":0.3191553610281926,"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."}}