{"id":"W4297231491","doi":"10.1038/s41390-022-02313-3","title":"Pharmacogenetic profiling via genome sequencing in children with medical complexity","year":2022,"lang":"en","type":"article","venue":"Pediatric Research","topic":"Pharmacogenetics and Drug Metabolism","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Clinical Evaluative Sciences; SickKids Foundation; University of Toronto; Hospital for Sick Children","funders":"Hospital for Sick Children; University of Toronto","keywords":"Pharmacogenomics; Pharmacogenetics; Polypharmacy; Medicine; CYP2C19; Population; Personalized medicine; Computational biology; Bioinformatics; Pharmacology; Gene; Genetics; Biology; Genotype","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":[],"consensus_categories":[],"category_scores_codex":[0.00158524,0.0003584206,0.0003858989,0.002523459,0.0003373684,0.0006954031,0.0004503592,0.0006379086,0.002134407],"category_scores_gemma":[0.007797186,0.0001955294,0.0005439859,0.003222127,0.0002715867,0.0004005803,0.001223226,0.0007877804,0.0003383944],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008430696,"about_ca_system_score_gemma":0.001171288,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01335416,"about_ca_topic_score_gemma":0.01548717,"domain_scores_codex":[0.9986421,0.0003929354,0.0001515729,0.0003665548,0.0002998377,0.0001469354],"domain_scores_gemma":[0.9954145,0.001755685,0.001595064,0.0003023547,0.0005667734,0.000365606],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001149707,0.00002546064,0.975489,0.00014859,0.0001242485,0.0006500329,0.0003350805,0.0005277983,0.001122287,0.0004066748,0.0034485,0.01760748],"study_design_scores_gemma":[0.00002109999,0.00008966386,0.9840948,0.0001825643,0.0001465542,0.001915751,0.0003656439,0.001272823,0.001058624,0.000926747,0.009910046,0.0000156749],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.954804,0.004010749,0.006089911,0.002255144,0.00004946593,0.0001946608,0.02805612,0.0001266834,0.004413284],"genre_scores_gemma":[0.9645889,0.003025664,0.01523716,0.001243245,0.00008760746,0.0002097137,0.01499988,0.00005644389,0.0005514473],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01335416,"threshold_uncertainty_score":0.02655286,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2916255501695349,"score_gpt":0.5027168091611328,"score_spread":0.2110912589915979,"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."}}