{"id":"W3000387542","doi":"10.2131/fts.7.9","title":"Usefulness and limitations of mRNA measurement in HepaRG cells for evaluation of cytochrome P450 induction","year":2020,"lang":"en","type":"article","venue":"Fundamental Toxicological Sciences","topic":"Pharmacogenetics and Drug Metabolism","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Innovation Cluster (Canada)","funders":"Japan Agency for Medical Research and Development","keywords":"CYP2B6; CYP3A4; CYP1A2; Cytochrome P450; Pharmacology; Phenobarbital; Drug metabolism; Enzyme inducer; Messenger RNA; CYP2A6; Chemistry; Pregnane X receptor; Biology; Metabolism; Drug; Biochemistry; Enzyme; Transcription factor; Nuclear receptor","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004042664,0.00111796,0.0009344158,0.0009523687,0.0008336926,0.001225675,0.0005526796,0.001188632,0.001293289],"category_scores_gemma":[0.00506343,0.000483412,0.0006287328,0.001082827,0.001527586,0.0007625929,0.0006719588,0.001456892,0.001123006],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006057549,"about_ca_system_score_gemma":0.0007140324,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001363494,"about_ca_topic_score_gemma":0.002472811,"domain_scores_codex":[0.991268,0.003094341,0.001068751,0.001532055,0.002699217,0.0003377075],"domain_scores_gemma":[0.9925035,0.004196465,0.0008145488,0.0009272775,0.001449972,0.0001082328],"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":[0.00006484121,0.00004620102,0.00134831,0.0003015013,0.00001215727,0.00006822281,0.0001628372,0.0001820099,0.9915558,0.000185117,0.0001274021,0.005945587],"study_design_scores_gemma":[0.000009460589,0.0004100006,0.006718682,0.00007170583,0.00009268332,0.0004152276,0.0002137789,0.002292683,0.9811529,0.0004936767,0.008093418,0.00003583225],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.549841,0.03212661,0.3964691,0.002317816,0.001732843,0.001017674,0.003900622,0.001193287,0.01140102],"genre_scores_gemma":[0.6886445,0.01816184,0.2742511,0.001925461,0.0005661008,0.002634599,0.006792769,0.0003973452,0.006626318],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004042664,"threshold_uncertainty_score":0.02137995,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6784075094608037,"score_gpt":0.4833525181894373,"score_spread":0.1950549912713664,"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."}}