{"id":"W2088641690","doi":"10.1016/j.toxlet.2008.10.019","title":"Pharmacogenomic approaches in clinical studies to identify biomarkers of safety and efficacy","year":2008,"lang":"en","type":"review","venue":"Toxicology Letters","topic":"Pharmacogenetics and Drug Metabolism","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Women's Health Research Institute","funders":"","keywords":"Pharmacogenomics; Toxicogenomics; Computational biology; Pharmacogenetics; Genotyping; Drug; Medicine; Drug development; Bioinformatics; Biology; Pharmacology; Genetics; Genotype; Gene","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"],"consensus_categories":[],"category_scores_codex":[0.002727753,0.0009373744,0.004313996,0.001032173,0.0001917043,0.00001217953,0.000892669,0.001131864,0.0001505165],"category_scores_gemma":[0.0004029646,0.0008681595,0.0007835826,0.0007720009,0.001533133,0.00007175226,0.0007262431,0.002072006,0.0001509006],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002007251,"about_ca_system_score_gemma":0.0002894744,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006208555,"about_ca_topic_score_gemma":0.000007283661,"domain_scores_codex":[0.9907895,0.003779941,0.002948225,0.001257975,0.0002235832,0.00100081],"domain_scores_gemma":[0.9946187,0.003346385,0.0009508842,0.0004757791,0.00005968595,0.0005486372],"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":[0.0005380251,0.0006598323,0.000440672,0.002904596,0.004165692,0.000316596,0.0007235371,0.00008433039,0.001306862,0.00005593103,0.008649096,0.9801548],"study_design_scores_gemma":[0.003320389,0.0001174496,0.00081203,0.0005444845,0.002161884,0.0002013764,0.00004625536,0.00002863868,0.0001879339,0.00001021805,0.9918005,0.0007687914],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.05484787,0.9381058,0.0000130123,0.0008966947,0.003281897,0.002295972,0.0002057413,0.00005319786,0.0002998546],"genre_scores_gemma":[0.001622493,0.992819,0.0003301351,0.004229093,0.0005609954,0.0002041131,0.00005438263,0.000108208,0.00007157333],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9831514,"threshold_uncertainty_score":0.9993769,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4700305489504826,"score_gpt":0.5615932813255406,"score_spread":0.09156273237505808,"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."}}