{"id":"W4387645752","doi":"10.1007/978-3-030-64477-2_132","title":"Pharmacogenomics and Cancer Treatment","year":2023,"lang":"en","type":"book-chapter","venue":"","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"","keywords":"Pharmacogenomics; Medicine; Pharmacogenetics; Thiopurine methyltransferase; Precision medicine; Personalized medicine; Cancer; Oncology; Genotyping; Biomarker; Efficacy; Drug; Internal medicine; Bioinformatics; Pharmacology; Genotype; Biology; Genetics; Pathology; Disease; Azathioprine","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":[0.0004658601,0.0006324933,0.000499761,0.0008673994,0.0004078279,0.002048633,0.0006390008,0.001443783,0.04004256],"category_scores_gemma":[0.0006242141,0.0002354187,0.0002541213,0.001089626,0.0009359372,0.001569016,0.0008881556,0.002349917,0.01802633],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001239048,"about_ca_system_score_gemma":0.001121935,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001576939,"about_ca_topic_score_gemma":0.004121214,"domain_scores_codex":[0.9997389,0.00007530471,0.000005414746,0.00002428721,0.0001371575,0.00001902598],"domain_scores_gemma":[0.9998852,0.00006876502,0.000005551,0.000009642536,0.00002094562,0.00000983013],"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":[0.00001986999,0.00005806041,0.00005833275,0.0003306055,0.000008802655,0.0001081476,0.000120217,0.000644949,0.0007898938,0.2392773,0.3833331,0.3752508],"study_design_scores_gemma":[0.000002369939,0.00000656981,0.00005879278,0.0001179004,0.000002221944,0.0001587827,0.00002349977,0.0001132805,0.0001437179,0.0391438,0.9602259,0.000002989171],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000563164,0.1957526,0.01290179,0.01825989,0.003984136,0.00006105976,0.0002621932,0.0002155239,0.7679997],"genre_scores_gemma":[0.005773718,0.1238817,0.006574031,0.008886143,0.001943384,0.00009092603,0.0002178655,0.0001365023,0.8524956],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.04004256,"threshold_uncertainty_score":0.1339557,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0243921646914246,"score_gpt":0.2758588049827312,"score_spread":0.2514666402913067,"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."}}