{"id":"W3135266906","doi":"10.1371/journal.pone.0246691","title":"Predicting major bleeding among hospitalized patients using oral anticoagulants for atrial fibrillation after discharge","year":2021,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Atrial Fibrillation Management and Outcomes","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Fonds de Recherche du Québec - Santé; Heart and Stroke Foundation of Canada","keywords":"Medicine; Rivaroxaban; Dabigatran; Atrial fibrillation; Apixaban; Warfarin; Cohort; Logistic regression; Internal medicine; Gastrointestinal bleeding; Stroke (engine); Cohort study","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0008469998,0.0003480237,0.0002834242,0.000554629,0.0002859181,0.0005839774,0.00042908,0.0002908985,0.001331569],"category_scores_gemma":[0.004179094,0.0001339039,0.0005313412,0.000578332,0.0001424233,0.0002240681,0.0003004241,0.0005908326,0.0001575964],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009987972,"about_ca_system_score_gemma":0.00129044,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1116805,"about_ca_topic_score_gemma":0.1472846,"domain_scores_codex":[0.9996592,0.00009805631,0.00004260175,0.00008019427,0.00006253273,0.00005747789],"domain_scores_gemma":[0.9981066,0.000612602,0.0007656109,0.00009096532,0.0002469395,0.0001773154],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003620143,0.00001500235,0.9982162,0.000006962264,0.0000373807,0.0000171249,0.00001032683,0.0003682298,0.00003062082,0.00001294616,0.0001826639,0.001066192],"study_design_scores_gemma":[0.0000192103,0.00007299107,0.9824703,0.00002594711,0.00005701729,0.00009385996,0.0001068459,0.01669059,0.00006697986,0.00009036449,0.0003003507,0.000005549826],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966067,0.0002441992,0.0005314755,0.0002595345,0.000008634485,0.00001364308,0.002011399,0.00001306391,0.0003112502],"genre_scores_gemma":[0.9976122,0.0000982777,0.0003763095,0.00003111342,0.00001052781,0.000007540528,0.001717736,0.000001382628,0.0001447983],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1116805,"threshold_uncertainty_score":0.2220609,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08744659696695271,"score_gpt":0.3084007181149784,"score_spread":0.2209541211480257,"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."}}