{"id":"W2346762247","doi":"10.1007/s40272-016-0176-2","title":"Pharmacogenomics in Pediatric Patients: Towards Personalized Medicine","year":2016,"lang":"en","type":"review","venue":"Pediatric Drugs","topic":"Pharmacogenetics and Drug Metabolism","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"Child and Family Research Institute; BC Children's Hospital; University of British Columbia","funders":"","keywords":"Pharmacogenomics; Medicine; Pharmacogenetics; Personalized medicine; Population; Dosing; Clinical trial; Intensive care medicine; Bioinformatics; Oncology; Pharmacology; Internal medicine; Genetics; Genotype; Biology","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":[0.006888623,0.0005892307,0.001877027,0.001605634,0.0003427944,0.002582007,0.0009826565,0.001700218,0.003391407],"category_scores_gemma":[0.01876667,0.000354907,0.001257344,0.001462603,0.0008129145,0.002260366,0.002378912,0.007352122,0.001108903],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001476893,"about_ca_system_score_gemma":0.002414685,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002582269,"about_ca_topic_score_gemma":0.002714189,"domain_scores_codex":[0.9959813,0.002717947,0.0002208099,0.0004666202,0.0005003508,0.0001129818],"domain_scores_gemma":[0.9878056,0.008340194,0.0009634425,0.0008360445,0.001524832,0.0005298763],"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":[0.0003956943,0.0001877227,0.06216201,0.002596791,0.001509687,0.001052063,0.0009058228,0.003739851,0.00239117,0.03477385,0.1011507,0.7891346],"study_design_scores_gemma":[0.000272805,0.0005338589,0.05852592,0.009164292,0.001860888,0.003401256,0.00126253,0.00830958,0.002606391,0.2360887,0.6777902,0.000183433],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.02272607,0.4003518,0.1664256,0.3745913,0.003280158,0.0002668588,0.00478544,0.001247254,0.02632556],"genre_scores_gemma":[0.2716811,0.4008216,0.2146782,0.08689729,0.01526882,0.0005588531,0.004245176,0.0005039638,0.005345075],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.006888623,"threshold_uncertainty_score":0.03643095,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.124043814483962,"score_gpt":0.4609432757484127,"score_spread":0.3368994612644507,"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."}}