{"id":"W4283074800","doi":"10.1016/j.transproceed.2022.05.001","title":"Corrigendum to Incidence of Direct Oral Anticoagulant Prescriptions in Kidney Transplant Recipients in Ontario, Canada [2020 Dec;52(10):3144-3152]","year":2022,"lang":"en","type":"erratum","venue":"Transplantation Proceedings","topic":"Renal and Vascular Pathologies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Impact; University of Ottawa; University of Toronto; McMaster University; Institute for Clinical Evaluative Sciences","funders":"","keywords":"Medicine; Medical prescription; Incidence (geometry); Kidney transplant; Kidney transplantation; Internal medicine; Intensive care medicine; Kidney; Pharmacology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004774288,0.0005024396,0.001191989,0.000660327,0.00009310589,0.00002903161,0.0003868261,0.0003262435,0.001115665],"category_scores_gemma":[0.0001154116,0.0004827013,0.0001830952,0.0009066003,0.00006294246,0.0001988866,0.00003836608,0.001199112,0.000006163868],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001074867,"about_ca_system_score_gemma":0.003417425,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8105085,"about_ca_topic_score_gemma":0.9517491,"domain_scores_codex":[0.9963019,0.00005229628,0.001101382,0.0008177625,0.001133097,0.0005934844],"domain_scores_gemma":[0.9989271,0.00003197937,0.0002856466,0.0002073581,0.0002119923,0.0003359383],"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":[0.00343034,0.0004982892,0.4085207,0.003810945,0.0002013957,0.002493064,0.01383088,0.00007696362,0.00483254,0.00004101846,0.5620404,0.0002233875],"study_design_scores_gemma":[0.003242797,0.0009866341,0.8869606,0.007958817,0.0006943278,0.0005943964,0.0005627102,0.0001587919,0.002562471,0.00003043026,0.09538271,0.0008653429],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9624611,0.000401061,0.00004162283,0.0007930894,0.01014588,0.002797276,0.001440746,0.0001152539,0.02180394],"genre_scores_gemma":[0.8633009,0.002857966,0.0008752596,0.001011052,0.0001864674,0.0006442895,0.005838889,0.0001321571,0.125153],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4784399,"threshold_uncertainty_score":0.9997975,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0291757189204532,"score_gpt":0.2563734315713019,"score_spread":0.2271977126508487,"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."}}