{"id":"W4403968392","doi":"10.1097/fpc.0000000000000547","title":"The Pharmacogenomics Global Research Network Implementation Working Group: global collaboration to advance pharmacogenetic implementation","year":2024,"lang":"en","type":"article","venue":"Pharmacogenetics and Genomics","topic":"Pharmacogenetics and Drug Metabolism","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"National Institute of General Medical Sciences; University of North Carolina at Chapel Hill; University of California, Davis; University of Montana; University of Pennsylvania Health System; University of Illinois at Urbana-Champaign; National Institutes of Health; Univerza v Ljubljani; Rijksuniversiteit Groningen; St. Jude Children's Research Hospital; University of Minnesota; University of Pennsylvania; Moffitt Cancer Center; U.S. Department of Veterans Affairs","keywords":"Pharmacogenetics; Pharmacogenomics; Workflow; Dosing; Drug response; Medicine; Drug; Computer science; Pharmacology; Biology; Genotype; Genetics","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","sts"],"consensus_categories":[],"category_scores_codex":[0.004976564,0.0007215244,0.000454433,0.0001848657,0.002567863,0.00100345,0.0009198256,0.0002597669,0.0003831075],"category_scores_gemma":[0.00003317535,0.0006842964,0.0001939811,0.002465016,0.0003926863,0.0002265474,0.0008187733,0.0009563161,0.0002505179],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009477864,"about_ca_system_score_gemma":0.0006336318,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007032436,"about_ca_topic_score_gemma":0.0006577155,"domain_scores_codex":[0.9930539,0.001262542,0.001352756,0.001339312,0.0006956381,0.002295892],"domain_scores_gemma":[0.9971838,0.000596091,0.0002383168,0.000425033,0.0004601043,0.001096639],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005634835,0.0001015768,0.006479505,0.00008267978,0.0006815426,0.00005938831,0.0009623535,0.009378579,0.1042067,0.0106555,0.02864062,0.8381881],"study_design_scores_gemma":[0.002272479,0.0001784143,0.001353568,0.00002185413,0.0006084924,0.00007336,0.001153079,0.01412796,0.02795501,0.008265181,0.9432309,0.0007596723],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8688197,0.1045922,0.003046703,0.005553723,0.0108463,0.00363846,0.001414343,0.0002812161,0.001807358],"genre_scores_gemma":[0.9352717,0.05362244,0.002319383,0.004050097,0.003678597,0.0006127441,0.0002153832,0.0001182139,0.0001114204],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9145903,"threshold_uncertainty_score":0.9995608,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1255625805978746,"score_gpt":0.5459056649859957,"score_spread":0.4203430843881211,"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."}}