{"id":"W1828029863","doi":"10.1002/9780470571224.pse089","title":"The Pharmacogenomics of Personalized Medicine","year":2010,"lang":"en","type":"other","venue":"Pharmaceutical Sciences Encyclopedia","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Pharmacogenomics; Personalized medicine; Pharmacodynamics; Profiling (computer programming); Medicine; Pharmacokinetics; Precision medicine; Drug; Pharmacology; Computational biology; Bioinformatics; Computer science; Biology; Pathology","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007218187,0.0002494083,0.0003093012,0.00008003898,0.0001963911,0.00001473271,0.0007322888,0.0001820944,0.001387155],"category_scores_gemma":[0.0002569316,0.0001462708,0.0001111528,0.0002184044,0.002622543,0.000001453611,0.0002458339,0.0002614813,0.00001487871],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005687182,"about_ca_system_score_gemma":0.0001050517,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004569625,"about_ca_topic_score_gemma":0.00008657139,"domain_scores_codex":[0.9984728,0.00007238271,0.0002790483,0.0004384518,0.0003475346,0.0003897803],"domain_scores_gemma":[0.9992596,0.00007848164,0.0002207525,0.0002608406,0.00004385244,0.0001364585],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006641611,0.0000652478,0.0004623859,0.00006310067,0.0002775834,0.000002316203,0.00004582329,6.57624e-7,0.2082448,0.009575956,0.755211,0.02598474],"study_design_scores_gemma":[0.0004037589,0.00009227993,0.00002219818,0.00001237809,0.00008983367,0.000004515597,0.00003451282,0.00001858121,0.004890252,0.0001553452,0.9940946,0.0001818027],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001090217,0.04573796,0.0001160799,0.001038837,0.00180239,0.0003048572,0.00005283847,0.00002048672,0.9498363],"genre_scores_gemma":[0.005915381,0.3510835,0.001593486,0.000726458,0.004157364,0.00005637248,0.00004176706,0.0002207017,0.636205],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3136314,"threshold_uncertainty_score":0.9995257,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02688922604694816,"score_gpt":0.3481284758493429,"score_spread":0.3212392498023948,"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."}}