{"id":"W2200135820","doi":"10.1016/j.jtcvs.2015.12.036","title":"Antiplatelet versus oral anticoagulant therapy as antithrombotic prophylaxis after mitral valve repair","year":2016,"lang":"en","type":"article","venue":"Journal of Thoracic and Cardiovascular Surgery","topic":"Cardiac Valve Diseases and Treatments","field":"Medicine","cited_by":32,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Medicine; Vitamin K antagonist; Antithrombotic; Atrial fibrillation; Internal medicine; Surgery; Cardiology; Cohort; Propensity score matching; Incidence (geometry); Stroke (engine); Retrospective cohort study; Anticoagulant; Warfarin","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":[0.001486407,0.0003557744,0.002075425,0.0003483474,0.0002454923,0.001166613,0.0003440632,0.0008782876,0.002007097],"category_scores_gemma":[0.004867496,0.0002171892,0.001243803,0.0003667785,0.0004650592,0.0006344849,0.0002284825,0.001739863,0.0002359859],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003326446,"about_ca_system_score_gemma":0.0007090529,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003090479,"about_ca_topic_score_gemma":0.001418702,"domain_scores_codex":[0.998562,0.0007339455,0.0002622819,0.0001193235,0.0001575497,0.0001648099],"domain_scores_gemma":[0.9964837,0.002430902,0.0004756705,0.0001170908,0.00008859325,0.0004040445],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"observational","study_design_scores_codex":[0.67261,0.003546902,0.0262046,0.002589419,0.005940527,0.0007764502,0.0003353777,0.0009428029,0.006634848,0.001617238,0.001655048,0.2771468],"study_design_scores_gemma":[0.1820445,0.3181715,0.4116843,0.003040625,0.03550621,0.003867246,0.001227162,0.008378868,0.008456098,0.005887484,0.02143646,0.000299573],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9279479,0.0636756,0.0005381642,0.001574594,0.001651727,0.0000856175,0.0001565412,0.00002006384,0.00434977],"genre_scores_gemma":[0.9847596,0.01183085,0.0004494971,0.0006842518,0.001571871,0.00003784981,0.0001158799,0.000006182478,0.0005440036],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002075425,"threshold_uncertainty_score":0.007860959,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02687721957312304,"score_gpt":0.3322142525521212,"score_spread":0.3053370329789982,"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."}}