{"id":"W4416850271","doi":"10.1002/cpt.70153","title":"An Update to the Clinical Pharmacogenetics Implementation Consortium ( <scp>CPIC</scp> ) <i>SLCO1B1</i> Allele Functionality Table Leveraging Evidence from Participants of Predominantly Sub‐Saharan African Ancestry","year":2025,"lang":"en","type":"article","venue":"Clinical Pharmacology & Therapeutics","topic":"Pharmacogenetics and Drug Metabolism","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Pharmacogenetics; Pharmacogenomics; Allele; Table (database); 1000 Genomes Project; Perspective (graphical); MEDLINE; Precision 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":[0.03501246,0.0006450265,0.001414949,0.00534772,0.001308289,0.005649436,0.002580986,0.004059164,0.01833718],"category_scores_gemma":[0.1250229,0.0007645164,0.001712394,0.005948387,0.001119128,0.003255926,0.002842004,0.006190012,0.007944588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00301623,"about_ca_system_score_gemma":0.02514064,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01602604,"about_ca_topic_score_gemma":0.02497177,"domain_scores_codex":[0.9706993,0.00943024,0.007839306,0.001256365,0.009587746,0.001186908],"domain_scores_gemma":[0.7896733,0.08887213,0.01622604,0.009264098,0.08395915,0.01200529],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002437543,0.0001603062,0.00657721,0.001086468,0.0001027686,0.0002992062,0.0002679656,0.0003974513,0.0005597468,0.006747399,0.8060597,0.177498],"study_design_scores_gemma":[0.00022163,0.0001523001,0.01167588,0.002378752,0.0002057575,0.0004469882,0.0001844734,0.0004306839,0.0008529924,0.004320618,0.9790419,0.00008800923],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.02133946,0.03328944,0.07941298,0.4529605,0.03710921,0.005974908,0.1212468,0.01402262,0.2346441],"genre_scores_gemma":[0.07985601,0.03972354,0.2864944,0.300675,0.02259168,0.00837049,0.1737967,0.00509386,0.08339829],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.03501246,"threshold_uncertainty_score":0.1851658,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3652053681126602,"score_gpt":0.5602017774771113,"score_spread":0.1949964093644511,"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."}}