{"id":"W2152193974","doi":"10.1124/dmd.105.003822","title":"CYP3A5 GENETIC POLYMORPHISMS IN DIFFERENT ETHNIC POPULATIONS","year":2005,"lang":"en","type":"article","venue":"Drug Metabolism and Disposition","topic":"Pharmacogenetics and Drug Metabolism","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":179,"is_retracted":false,"has_abstract":false,"ca_institutions":"Centre Hospitalier de l’Université de Montréal","funders":"","keywords":"CYP3A5; Biology; Genetics; Allele; Polymorphism (computer science); CYP3A; Population; Allele frequency; White (mutation); Single-nucleotide polymorphism; Genotype; Genetic variation; Gene; Medicine","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003553364,0.0003252982,0.0003855344,0.0003000553,0.0002278865,0.000035319,0.000183492,0.0002048106,0.0006067284],"category_scores_gemma":[0.00001948336,0.0002919385,0.0001112189,0.0002944666,0.0001253234,0.0002118571,0.00009520211,0.0005073579,0.00009709288],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003738426,"about_ca_system_score_gemma":0.00002615251,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007516339,"about_ca_topic_score_gemma":0.000153202,"domain_scores_codex":[0.9979093,0.0004310219,0.0005039751,0.0004318508,0.0001996187,0.0005242344],"domain_scores_gemma":[0.9991996,0.00008604654,0.0001184604,0.0002109336,0.00004370351,0.0003411995],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0005165919,0.001887196,0.04015321,0.00005966138,0.0001495609,0.00005442989,0.005650096,0.004919168,0.2466817,0.02685557,0.003157101,0.6699157],"study_design_scores_gemma":[0.003320951,0.00001532659,0.8845633,0.00001585182,0.0003708286,0.00003291477,0.00008043354,0.01044931,0.02846991,0.003519636,0.06863707,0.0005244983],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9657722,0.02855206,0.0002734087,0.002169664,0.001107996,0.0004023834,0.0001051981,0.00007242204,0.001544635],"genre_scores_gemma":[0.9920165,0.003179876,0.0006864283,0.002390032,0.001012472,0.00009846508,0.0001001589,0.00003253755,0.000483519],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8444101,"threshold_uncertainty_score":0.9999533,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08882325038046779,"score_gpt":0.4085712084088499,"score_spread":0.3197479580283821,"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."}}