{"id":"W3096869953","doi":"10.2217/pgs-2020-0056","title":"Unraveling Heterogeneity of the Clinical Pharmacogenomic Guidelines in Oncology Practice Among Major Regulatory Bodies","year":2020,"lang":"en","type":"review","venue":"Pharmacogenomics","topic":"Cancer Treatment and Pharmacology","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pharmacogenomics; Pharmacogenetics; Clinical Oncology; Medicine; Clinical Practice; Personalized medicine; Drug response; Drug; Oncology; Intensive care medicine; Internal medicine; Pharmacology; Bioinformatics; Cancer; Family medicine; Genotype; Biology; Genetics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00178315,0.0008070496,0.003998836,0.0002731977,0.0001088412,0.00001644088,0.0007294455,0.0005972009,0.0001756766],"category_scores_gemma":[0.0005274026,0.0006004687,0.001802474,0.0004510274,0.0004993206,0.0001147875,0.0005965398,0.001746826,0.00007520477],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001206186,"about_ca_system_score_gemma":0.003312729,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001608546,"about_ca_topic_score_gemma":0.00007725048,"domain_scores_codex":[0.9933294,0.001392678,0.003368754,0.0009763172,0.0003447139,0.0005881486],"domain_scores_gemma":[0.9951882,0.001280274,0.002207577,0.0006235079,0.000325969,0.0003744752],"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":[0.0009328109,0.00083244,0.002029662,0.006287747,0.003987703,0.0004485075,0.0002149085,0.00001934658,0.0004426918,0.00001054964,0.007037355,0.9777563],"study_design_scores_gemma":[0.004075349,0.0002334694,0.0001028866,0.001627457,0.01472531,0.0004091169,0.00003134747,0.0001154831,0.0005241322,0.000006615569,0.9777203,0.000428551],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.006538659,0.9849113,0.00000464444,0.00129366,0.0028822,0.003018873,0.0002348053,0.00005566134,0.001060223],"genre_scores_gemma":[0.0008036239,0.9926479,0.0008952859,0.00266498,0.002231412,0.0002147236,0.00008545822,0.0001637418,0.0002928414],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9773277,"threshold_uncertainty_score":0.9996447,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2497313678221193,"score_gpt":0.5320333608091322,"score_spread":0.2823019929870129,"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."}}