{"id":"W2937998003","doi":"10.1097/tp.0000000000002757","title":"The Impact of Preexisting and Post-transplant Diabetes Mellitus on Outcomes Following Liver Transplantation","year":2019,"lang":"en","type":"article","venue":"Transplantation","topic":"Renal Transplantation Outcomes and Treatments","field":"Medicine","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; Toronto General Hospital; University of Toronto","funders":"National Institute for Health and Care Research","keywords":"Medicine; Internal medicine; Diabetes mellitus; Liver transplantation; Transplantation; Glycemic; Tacrolimus; Nonalcoholic fatty liver disease; Gastroenterology; Retrospective cohort study; Liver disease; Incidence (geometry); Surgery; Disease; Fatty liver; Insulin; Endocrinology","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":[0.0002066888,0.0002713419,0.0003956973,0.0001300756,0.0001469559,0.0000338024,0.00007556495,0.00009260615,0.00003559617],"category_scores_gemma":[0.00000851496,0.0001615871,0.0003490597,0.0001336256,0.00004893789,0.0001810324,0.000001913274,0.0001468163,0.0000295592],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004232527,"about_ca_system_score_gemma":0.00004906945,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002611692,"about_ca_topic_score_gemma":0.00003470086,"domain_scores_codex":[0.9985248,0.00007447434,0.0004310579,0.0002880626,0.0003843013,0.000297307],"domain_scores_gemma":[0.9987896,0.0007026651,0.0001348264,0.0002004952,0.00006707382,0.0001053369],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001614861,0.0001513799,0.9738792,0.001378659,0.0007883323,0.00018955,0.002632715,0.0002542378,0.01464833,0.0005467688,8.990778e-7,0.003915019],"study_design_scores_gemma":[0.004385377,0.001067379,0.9830343,0.0008743311,0.000755573,0.0000919366,0.00006595657,0.0003696426,0.00913077,0.00005286879,0.000002296868,0.0001695763],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968475,0.0004238526,0.0002029611,0.00009936653,0.0001280154,0.0007854769,0.0002057517,0.00005109473,0.001256031],"genre_scores_gemma":[0.9955555,0.003442839,0.0002530807,0.00006439079,0.00001305503,0.00002205279,0.0004481827,0.00002890355,0.0001719903],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009155045,"threshold_uncertainty_score":0.6589332,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01435104191952728,"score_gpt":0.2923950070105029,"score_spread":0.2780439650909756,"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."}}