{"id":"W4392037327","doi":"10.1038/s41525-024-00403-1","title":"A call for increased inclusivity and global representation in pharmacogenetic testing","year":2024,"lang":"en","type":"article","venue":"npj Genomic Medicine","topic":"Pharmacogenetics and Drug Metabolism","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network; Ted Rogers Centre for Heart Research; SickKids Foundation; Hospital for Sick Children; University of Toronto","funders":"Hospital for Sick Children; Sick Kids Foundation","keywords":"Pharmacogenetics; Genetic testing; Dosing; Cohort; Genetic variation; Genetics; Medicine; Adverse effect; Biology; Gene; Genotype; Internal medicine","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":["open_science"],"consensus_categories":[],"category_scores_codex":[0.09760728,0.0007389629,0.001706232,0.003420067,0.0006671056,0.00502394,0.002574691,0.002418391,0.003380252],"category_scores_gemma":[0.1691128,0.0008247729,0.001637544,0.003777198,0.003757869,0.004232082,0.004787461,0.003812755,0.0006348995],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001199657,"about_ca_system_score_gemma":0.0008910326,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002086801,"about_ca_topic_score_gemma":0.003369398,"domain_scores_codex":[0.9187999,0.05627998,0.002909836,0.01221665,0.008173561,0.001620125],"domain_scores_gemma":[0.6784763,0.2289814,0.01772425,0.05511234,0.01691514,0.002790514],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001988384,0.000125068,0.6272132,0.0009186607,0.002600335,0.0007455283,0.004888238,0.007400745,0.01151225,0.01598649,0.0137558,0.3128654],"study_design_scores_gemma":[0.0002376143,0.001079561,0.8103378,0.0008525642,0.0009281251,0.007014694,0.002225621,0.02483113,0.00911162,0.05513679,0.08797903,0.0002654323],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"commentary","genre_scores_codex":[0.6644983,0.009450748,0.2325369,0.04965658,0.00154462,0.000484683,0.004758904,0.001611983,0.03545733],"genre_scores_gemma":[0.8877519,0.001772335,0.0894566,0.01344069,0.001658688,0.0004214641,0.002235654,0.0006129744,0.00264976],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.9974253,"threshold_uncertainty_score":0.5162028,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1831185717933833,"score_gpt":0.4958389406991425,"score_spread":0.3127203689057592,"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."}}