{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002710613,0.000290051,0.0008391503,0.0009933822,0.00006061877,0.00002307325,0.00005547793,0.0001700286,0.00001583278],"category_scores_gemma":[0.00002298088,0.0002346671,0.0001432968,0.0009607756,0.0002012437,0.000194902,0.00003028749,0.0001339105,0.000001222061],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001727651,"about_ca_system_score_gemma":0.00005699777,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001784509,"about_ca_topic_score_gemma":0.00000211841,"domain_scores_codex":[0.9981697,0.00008677468,0.0006988789,0.0004117884,0.0003626722,0.000270206],"domain_scores_gemma":[0.9990371,0.0001412986,0.0003295912,0.0001575028,0.0001104851,0.0002240348],"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":[0.0002210196,0.0002190098,0.171762,0.0009868341,0.0005076024,0.000004647064,0.00151465,2.701219e-8,0.8241561,0.000149535,0.000002247019,0.0004763639],"study_design_scores_gemma":[0.003610705,0.0003273202,0.4205973,0.000375978,0.00038268,0.00002763908,0.0002460897,0.00001523996,0.5736852,0.00005192121,0.0005122019,0.0001677895],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943735,0.001238813,0.002905028,0.00007011024,0.00008407397,0.0009504973,0.0002665575,0.00003052115,0.00008090981],"genre_scores_gemma":[0.9814748,0.0009646319,0.01653537,0.00005345565,0.00004851145,0.000057893,0.0008282156,0.0000264024,0.000010756],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2504709,"threshold_uncertainty_score":0.9569447,"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."}}