{"id":"W2792752410","doi":"10.1124/dmd.117.079921","title":"Post-transcriptional Regulation of UGT2B10 Hepatic Expression and Activity by Alternative Splicing","year":2018,"lang":"en","type":"article","venue":"Drug Metabolism and Disposition","topic":"Pharmacogenetics and Drug Metabolism","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"Centre hospitalier de l'Université Laval; Université Laval; Centre hospitalier universitaire de Québec","funders":"Common Fund; National Human Genome Research Institute; National Institute of Mental Health; NIH Office of the Director; National Heart, Lung, and Blood Institute; National Cancer Institute; National Institutes of Health; Canadian Institutes of Health Research; Université Laval","keywords":"Alternative splicing; Gene expression; RNA splicing; Transcriptional regulation; Chemistry; Expression (computer science); Biology; Cell biology; Regulation of gene expression; Biochemistry; Computational biology; Gene; Messenger RNA; RNA; Computer science","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":[0.0003873282,0.0003310554,0.0002959822,0.0003300407,0.0002113106,0.0008342111,0.0001829145,0.0002276228,0.003145277],"category_scores_gemma":[0.0003632639,0.0002715429,0.0005684664,0.0002922916,0.0003787579,0.000238048,0.000319579,0.000603067,0.001202966],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004860973,"about_ca_system_score_gemma":0.0002988937,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001888408,"about_ca_topic_score_gemma":0.003431038,"domain_scores_codex":[0.9995814,0.000100106,0.00002710454,0.0001311501,0.00008603741,0.00007428569],"domain_scores_gemma":[0.9996852,0.00009258086,0.00006406232,0.00004331305,0.000072811,0.00004208572],"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":[0.0003837687,0.00002405408,0.002199395,0.0000449479,0.00002125101,0.0001663536,0.00006273653,0.0001354751,0.9898924,0.001066038,0.0003609177,0.005642768],"study_design_scores_gemma":[0.00007019086,0.0003436182,0.05748762,0.00003111376,0.00006795092,0.001334686,0.0002062855,0.003945282,0.9201181,0.0005080416,0.01585802,0.00002903015],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9648702,0.003629114,0.02140602,0.0007080655,0.0002695639,0.00004828283,0.001956462,0.0002622683,0.00685012],"genre_scores_gemma":[0.9812789,0.0008144118,0.006701418,0.0001683793,0.00006870973,0.00003206845,0.002460388,0.000152015,0.008323801],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003145277,"threshold_uncertainty_score":0.01052201,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02919582106917623,"score_gpt":0.3578512395748972,"score_spread":0.328655418505721,"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."}}