{"id":"W2939375285","doi":"10.1002/bmc.4549","title":"Development and validation of a sensitive liquid‐chromatography tandem mass spectrometry assay for mycophenolic acid and metabolites in HepaRG cell culture: Characterization of metabolism interactions between <i>p</i>‐cresol and mycophenolic acid","year":2019,"lang":"en","type":"article","venue":"Biomedical Chromatography","topic":"Renal Transplantation Outcomes and Treatments","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Faculty of Pharmacy and Pharmaceutical Sciences, University of Alberta","keywords":"Chemistry; Chromatography; Selected reaction monitoring; Glucuronide; Pharmacokinetics; Formic acid; Glucuronidation; Liquid chromatography–mass spectrometry; Mass spectrometry; Tandem mass spectrometry; Mycophenolic acid; Ammonium acetate; Metabolite; High-performance liquid chromatography; In vitro; Biochemistry; Pharmacology; Transplantation","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001409023,0.000888669,0.0004684754,0.0007076349,0.000410109,0.0004848618,0.0004397744,0.0007138613,0.0003971355],"category_scores_gemma":[0.001324099,0.0003318324,0.000471021,0.0005065963,0.0005098114,0.0002845508,0.0003795166,0.0006355446,0.0004831826],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005198895,"about_ca_system_score_gemma":0.001074411,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001783405,"about_ca_topic_score_gemma":0.00222594,"domain_scores_codex":[0.9979447,0.0005176206,0.0001717677,0.0003079795,0.0009734378,0.00008444998],"domain_scores_gemma":[0.9992954,0.00013326,0.0001446068,0.0000965155,0.0002705489,0.00005969341],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00003631797,0.00003385474,0.0009002612,0.00002726315,0.00001206287,0.00002621611,0.00002259029,0.0001027784,0.9969015,0.00003161401,0.0000235814,0.001881832],"study_design_scores_gemma":[0.000009782789,0.0002359112,0.004694039,0.00000862372,0.00003068565,0.0002239441,0.00002018695,0.002783507,0.9911261,0.00003739434,0.0008209802,0.000008829665],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.7890965,0.003594052,0.2021989,0.0002042949,0.0001429443,0.0008669409,0.001364677,0.0007042771,0.001827408],"genre_scores_gemma":[0.8294744,0.002392896,0.1612286,0.0004203645,0.00006921317,0.001066938,0.002148144,0.00009282649,0.003106524],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.001783405,"threshold_uncertainty_score":0.007451713,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01163728239576907,"score_gpt":0.2576758831706168,"score_spread":0.2460386007748477,"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."}}