{"id":"W1550111853","doi":"10.1002/9781118116494.ch8","title":"Pharmacogenetics in Cancer","year":2012,"lang":"en","type":"other","venue":"","topic":"Cancer therapeutics and mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Pharmacogenetics; Pharmacogenomics; Cancer; Medicine; Personalized medicine; Computational biology; Pharmacology; Bioinformatics; Internal medicine; Biology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005358775,0.0004573305,0.0004148305,0.001018099,0.0002155929,0.001300754,0.0003195693,0.0007115591,0.03854275],"category_scores_gemma":[0.001064696,0.0001353179,0.0003164194,0.001254241,0.0003233835,0.0006711519,0.0005791686,0.001121094,0.01050889],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006652276,"about_ca_system_score_gemma":0.0007296365,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001171874,"about_ca_topic_score_gemma":0.002394291,"domain_scores_codex":[0.9997651,0.00007702536,0.00001263965,0.00003345167,0.00009298806,0.00001884338],"domain_scores_gemma":[0.9997728,0.0001182133,0.00002010985,0.0000261578,0.00004022114,0.00002248023],"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":[0.00006686644,0.00005908664,0.0006764294,0.0006095809,0.00002995568,0.0001958053,0.0000408486,0.0004579413,0.001792848,0.02964054,0.259968,0.7064621],"study_design_scores_gemma":[0.00000918809,0.00001824915,0.001218145,0.0003415156,0.00001915271,0.0005065363,0.00001953809,0.0001462368,0.001035501,0.01470621,0.9819727,0.000006955379],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00274897,0.4622605,0.02058202,0.03447698,0.004805219,0.0001187273,0.002878402,0.0009393903,0.4711896],"genre_scores_gemma":[0.02427001,0.560177,0.01764194,0.01225548,0.005855099,0.0001625001,0.002749508,0.0003675638,0.3765209],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03854275,"threshold_uncertainty_score":0.1289383,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02138147102119179,"score_gpt":0.3218214117462848,"score_spread":0.3004399407250929,"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."}}