{"id":"W2910710912","doi":"10.1016/j.dmpk.2018.09.225","title":"A non-linear mixed-effects model to describe the population pharmacokinetics of mycophenolic acid and the effects of co-variates in adult, de-novo kidney transplant patients on steroid-free anti-rejection regimens","year":2019,"lang":"en","type":"article","venue":"Drug Metabolism and Pharmacokinetics","topic":"Renal Transplantation Outcomes and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Mycophenolic acid; Mycophenolate; Kidney transplant; Population pharmacokinetics; Pharmacokinetics; Medicine; Steroid; Population; Pharmacology; Kidney transplantation; Internal medicine; Transplantation; Environmental health","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":[0.0002439656,0.0002699872,0.0005562071,0.0001744462,0.00005641935,0.00001390285,0.0001350607,0.00006519679,0.000003521666],"category_scores_gemma":[0.00006232785,0.0001608625,0.00008981955,0.0002404555,0.00007743297,0.0000652328,0.00002746337,0.0001995383,0.000001899348],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001675626,"about_ca_system_score_gemma":0.0000260912,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001646716,"about_ca_topic_score_gemma":0.000005630779,"domain_scores_codex":[0.9985211,0.0001770089,0.0004339311,0.0002658602,0.0003528373,0.0002492357],"domain_scores_gemma":[0.9989616,0.0003149903,0.0001768618,0.0002777754,0.0001069108,0.0001619044],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01319146,0.002246201,0.701607,0.01090058,0.00145237,0.00004425323,0.02868886,0.009748416,0.2195045,0.002234139,0.0004128875,0.00996927],"study_design_scores_gemma":[0.05226631,0.0004138626,0.5866453,0.001283497,0.001988743,0.00001978877,0.0000552999,0.03183193,0.3249341,0.0002065979,0.00007938701,0.0002751442],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962674,0.0004247679,0.000388743,0.0003290551,0.0003655937,0.001967525,0.0001677881,0.00001247675,0.00007666661],"genre_scores_gemma":[0.995118,0.002905337,0.000568531,0.001123646,0.00005184766,0.00005084524,0.00009659287,0.00003049513,0.00005466719],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1149618,"threshold_uncertainty_score":0.6559781,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008529539835027198,"score_gpt":0.2698760329647641,"score_spread":0.2613464931297369,"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."}}