{"id":"W1985533827","doi":"10.3389/fgene.2015.00041","title":"Use of pharmacogenomics in pediatric renal transplant recipients","year":2015,"lang":"en","type":"review","venue":"Frontiers in Genetics","topic":"Renal Transplantation Outcomes and Treatments","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Child and Family Research Institute; BC Children's Hospital; University of British Columbia","funders":"University of British Columbia; Provincial Health Services Authority; Child and Family Research Institute; Genome British Columbia; Canadian Institutes of Health Research; Hospital Infantil de México Federico Gómez; Genome Canada; Pfizer","keywords":"Pharmacogenomics; Medicine; Calcineurin; CYP3A4; Therapeutic drug monitoring; Pharmacology; Dosing; Pharmacokinetics; Pharmacogenetics; CYP3A5; Drug; SLCO1B1; Adverse effect; Population; Tacrolimus; Transplantation; Internal medicine; Biology; Genotype; Gene; Cytochrome P450; Genetics; Metabolism","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001654643,0.0003339877,0.00163839,0.0007315443,0.000008828846,0.000008130502,0.0001427235,0.0002735182,0.00000818042],"category_scores_gemma":[0.000009205012,0.000276652,0.0002772088,0.0005137254,0.00003349173,0.00003258237,0.00001440435,0.0003162717,0.000007037707],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002584737,"about_ca_system_score_gemma":0.0003875783,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001390778,"about_ca_topic_score_gemma":0.000006831373,"domain_scores_codex":[0.9980356,0.0001109145,0.0009508661,0.0003218092,0.0003074832,0.0002734039],"domain_scores_gemma":[0.9992303,0.00004652459,0.0002646749,0.0002591956,0.00004841166,0.000150855],"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":[0.0002105316,0.0004330793,0.3398604,0.01173647,0.0003771997,0.0006709665,0.0002748426,0.0001242016,4.77521e-7,0.000001650256,0.0008340303,0.6454762],"study_design_scores_gemma":[0.005789909,0.0003552912,0.01144211,0.01851424,0.007450091,0.0001854822,0.000008200414,0.0001852006,0.00001666945,0.00002951371,0.9553691,0.0006542263],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001826083,0.9956278,0.0002392576,0.000003601472,0.0008699647,0.0009456889,0.0003747107,0.000007900926,0.000105033],"genre_scores_gemma":[0.0001123626,0.9844264,0.01444136,0.00001455267,0.00008658419,0.00003264086,0.0005733036,0.00005245412,0.0002603233],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9545351,"threshold_uncertainty_score":0.9999686,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1104004630932249,"score_gpt":0.3589431730945402,"score_spread":0.2485427100013153,"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."}}