{"id":"W2967673574","doi":"10.1111/ctr.13696","title":"Associations of obesity with antidiabetic medication use after living kidney donation: An analysis of linked national registry and pharmacy fill records","year":2019,"lang":"en","type":"article","venue":"Clinical Transplantation","topic":"Renal Transplantation Outcomes and Treatments","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; University of Alberta","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; Health Resources and Services Administration; National Institute of Allergy and Infectious Diseases; Hennepin Healthcare Research Institute; U.S. Department of Health and Human Services","keywords":"Medicine; Underweight; Overweight; Body mass index; Obesity; Hazard ratio; Pharmacy; Incidence (geometry); Internal medicine; Metformin; Diabetes mellitus; Insulin; Endocrinology; Confidence interval; Family medicine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005433997,0.0001252594,0.0004905431,0.0002472965,0.00003622379,0.00001321149,0.00005116306,0.0001067399,0.0001964803],"category_scores_gemma":[0.0001676919,0.0001030276,0.0001563244,0.0004021088,0.00009684006,0.0003420636,0.000003538423,0.0001344464,0.000003462755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003389964,"about_ca_system_score_gemma":0.0001673689,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001485567,"about_ca_topic_score_gemma":0.00008783361,"domain_scores_codex":[0.998191,0.0001610206,0.0007510884,0.0002944741,0.0004975934,0.0001048171],"domain_scores_gemma":[0.9978568,0.0009973018,0.000424693,0.0001727472,0.0003887167,0.0001597246],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004817876,0.0004793225,0.9964549,0.000326614,0.001108823,0.000005720901,0.00036457,0.00007956027,0.000273473,0.00009321668,0.000003471774,0.0003285639],"study_design_scores_gemma":[0.002626931,0.0002888431,0.9890596,0.0004688094,0.003581266,0.000007575022,0.00002225389,0.003460272,0.0003505309,0.00002220207,0.00001518396,0.0000965129],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969127,0.00002422499,0.001495455,0.0002025209,0.00008318447,0.0003419943,0.0006779709,0.0000211865,0.0002407931],"genre_scores_gemma":[0.9928554,0.000866157,0.003455217,0.0002525569,0.00003377582,0.00001325182,0.00238374,0.00001140594,0.0001285344],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007395257,"threshold_uncertainty_score":0.4201343,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06197040962454005,"score_gpt":0.3847932871307133,"score_spread":0.3228228775061733,"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."}}