{"id":"W4283375781","doi":"10.3138/canlivj-2022-0010","title":"Post-transplant diabetes mellitus in Canadian liver and renal transplant recipients","year":2022,"lang":"en","type":"article","venue":"Canadian Liver Journal","topic":"Renal Transplantation Outcomes and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cégep de Saint-Laurent; University of Alberta; University of Saskatchewan; Paladin Labs (Canada); University of Manitoba","funders":"","keywords":"Medicine; Internal medicine; Diabetes mellitus; Transplantation; Liver transplantation; Body mass index; Tacrolimus; Gastroenterology; Renal transplant; Liver disease; Incidence (geometry); Endocrinology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003026189,0.0002137099,0.0003015288,0.0009103874,0.0005280341,0.00005662796,0.0001369927,0.00007515759,0.001630726],"category_scores_gemma":[0.000007587204,0.000198478,0.0001111575,0.0002308142,0.00005287412,0.0001373321,0.000005813362,0.000641085,0.00002468032],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001139762,"about_ca_system_score_gemma":0.001627504,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7153757,"about_ca_topic_score_gemma":0.9256178,"domain_scores_codex":[0.9981206,0.0001193664,0.0003328375,0.000262683,0.0003303668,0.0008341505],"domain_scores_gemma":[0.9974972,0.00004938918,0.00005910315,0.0001307215,0.00006198028,0.00220159],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001571086,0.00005903926,0.9638685,0.00005141706,0.0002299537,0.02709426,0.003252245,0.00004925178,0.0001691454,0.000150411,0.0002202625,0.004698412],"study_design_scores_gemma":[0.002868237,0.0004418018,0.9747768,0.0003829802,0.0002455221,0.006410327,0.0001412422,0.0002154207,0.0001048586,0.00002995322,0.01411156,0.0002713006],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9915241,0.003830598,0.000003770307,0.001496319,0.0003515958,0.0002980768,0.001300104,0.000009006426,0.001186451],"genre_scores_gemma":[0.9946626,0.002203934,0.000126638,0.002131098,0.00007943997,0.0000164788,0.000226523,0.0000275021,0.0005258304],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2102421,"threshold_uncertainty_score":0.9992819,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01226885834514446,"score_gpt":0.2233878094613967,"score_spread":0.2111189511162523,"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."}}