{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004615226,0.0002075183,0.0002846891,0.0001211634,0.0002922613,0.00002385524,0.00008983966,0.0001378965,0.0001752045],"category_scores_gemma":[0.00002472471,0.0001923526,0.0000556312,0.0001189504,0.0003354883,0.0003231754,0.00006231871,0.0002265425,0.00000687786],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000114261,"about_ca_system_score_gemma":0.00002237916,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001138776,"about_ca_topic_score_gemma":0.000007578244,"domain_scores_codex":[0.9985898,0.0003618869,0.0002757903,0.0003318786,0.0002014945,0.000239123],"domain_scores_gemma":[0.999193,0.0001204893,0.0001907131,0.0001167087,0.0001888104,0.0001902806],"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":[0.0004952649,0.000171065,0.001039192,0.00004791519,0.00004738192,7.60448e-7,0.001773888,0.00001700316,0.9706571,0.002283528,0.0003346997,0.02313224],"study_design_scores_gemma":[0.001824973,0.00004385554,0.07818776,0.00002782562,0.0002700883,0.000009262373,0.00008929167,0.006897488,0.9011171,0.002052098,0.009255279,0.0002249735],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9919481,0.003630988,0.001972197,0.0003307235,0.000713475,0.0002925563,0.0003926521,0.00002917816,0.0006901392],"genre_scores_gemma":[0.9971601,0.001194895,0.0003363635,0.0005465933,0.000414475,0.00002229702,0.0000955362,0.00001778227,0.0002119687],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07714857,"threshold_uncertainty_score":0.7843911,"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."}}