{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006161988,0.0005579617,0.0007145556,0.0006404073,0.0007926758,0.0005106868,0.0003181866,0.0004974669,0.004891674],"category_scores_gemma":[0.001884065,0.0003037039,0.0008995282,0.0008380042,0.0004435145,0.000309913,0.0003374573,0.0005241375,0.0004777407],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002779093,"about_ca_system_score_gemma":0.0001290301,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003750878,"about_ca_topic_score_gemma":0.003191294,"domain_scores_codex":[0.9993106,0.0002447212,0.00008613132,0.0001794017,0.0000685021,0.0001106805],"domain_scores_gemma":[0.9995004,0.0001925817,0.0001075059,0.00007356468,0.00006031009,0.00006568249],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.006412613,0.000366034,0.9434463,0.00006749589,0.001746705,0.003803109,0.002153654,0.0003059988,0.02257088,0.001194084,0.0007554385,0.01717775],"study_design_scores_gemma":[0.0001269692,0.0002939584,0.9933269,0.00001166574,0.0004981775,0.002592215,0.0005956264,0.0003107835,0.0009498618,0.0004274668,0.0008480406,0.00001830533],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978852,0.0002540553,0.0002928257,0.00006459145,0.00001375941,0.00001056044,0.0001263117,0.000005127238,0.001347586],"genre_scores_gemma":[0.9989051,0.00009761655,0.0001370297,0.0000677386,0.00001281385,0.000009445556,0.0001796711,0.000009127086,0.0005813717],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004891674,"threshold_uncertainty_score":0.01636422,"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."}}