{"id":"W2809236842","doi":"10.1016/j.jpba.2018.06.022","title":"In vitrometabolic mapping of neobavaisoflavone in human cytochromes P450 and UDP-glucuronosyltransferase enzymes by ultra high-performance liquid chromatography coupled with quadrupole time-of-flight tandem mass spectrometry","year":2018,"lang":"en","type":"article","venue":"Journal of Pharmaceutical and Biomedical Analysis","topic":"Bioactive natural compounds","field":"Biochemistry, Genetics and Molecular Biology","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Project 211; National Institutes of Health; New Brunswick Innovation Foundation","keywords":"Chemistry; Glucuronidation; Hydroxylation; Microsome; Bioavailability; Phenacetin; Chromatography; Pharmacokinetics; Tandem mass spectrometry; Glucuronosyltransferase; High-performance liquid chromatography; Cytochrome P450; Mass spectrometry; Enzyme; Pharmacology; Biochemistry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001747638,0.000368616,0.0002190798,0.0002592269,0.0002530857,0.0003011663,0.0001652554,0.0002398009,0.0005852314],"category_scores_gemma":[0.0002576014,0.0002217071,0.0002643366,0.0002644433,0.0001767492,0.0001577398,0.0001353528,0.0003577713,0.0003192684],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004626735,"about_ca_system_score_gemma":0.0004039276,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004427537,"about_ca_topic_score_gemma":0.007495203,"domain_scores_codex":[0.9998376,0.00002978382,0.0000100717,0.00005953018,0.00003880166,0.0000240473],"domain_scores_gemma":[0.9998915,0.00002114291,0.00001987262,0.00001582462,0.00003096237,0.00002054962],"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":[0.0002068479,0.00001685771,0.001147331,0.00001261381,0.00001327216,0.00002733246,0.00001601976,0.0001083174,0.9968286,0.00004867754,0.0000337676,0.001540278],"study_design_scores_gemma":[0.00001788818,0.0001594293,0.01468901,0.000002814317,0.00002427196,0.0001593744,0.00002164062,0.0007372282,0.9830213,0.00005078685,0.001110969,0.000005244016],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9834832,0.001999294,0.01087382,0.0001279651,0.0000278839,0.00003997569,0.002032433,0.0001118236,0.001303561],"genre_scores_gemma":[0.9876404,0.0006365271,0.005252075,0.00006485132,0.000008666952,0.00004061277,0.003495435,0.0000337543,0.0028275],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004427537,"threshold_uncertainty_score":0.008803546,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006591720601418403,"score_gpt":0.264042413882748,"score_spread":0.2574506932813296,"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."}}