{"id":"W4282966580","doi":"10.1158/1538-7445.am2022-1151","title":"Abstract 1151: Pharmacogenomics genotyping from clinical somatic whole exome sequencing: Aldy, a computational tool","year":2022,"lang":"en","type":"article","venue":"Cancer Research","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Germline; Pharmacogenomics; Genotyping; Genotype; Genetics; Germline mutation; Somatic cell; Exome sequencing; Biology; Medicine; Oncology; Bioinformatics; Gene; Mutation","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":[0.002478275,0.001004831,0.0008357625,0.001252299,0.000507043,0.001574361,0.001266069,0.0009528415,0.01181163],"category_scores_gemma":[0.009777641,0.0005704679,0.001206447,0.000887104,0.0003651099,0.0006879,0.001263207,0.0009567323,0.002098641],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006184369,"about_ca_system_score_gemma":0.001627275,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005277673,"about_ca_topic_score_gemma":0.007088756,"domain_scores_codex":[0.9993246,0.0003085445,0.00005188948,0.0001617886,0.0001225924,0.0000306545],"domain_scores_gemma":[0.9966615,0.002742848,0.0001199575,0.0002380668,0.0001633863,0.00007416723],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002587904,0.0004520895,0.04665148,0.001217117,0.00170001,0.001172768,0.0003881965,0.5416933,0.006297519,0.01321707,0.1116622,0.2729603],"study_design_scores_gemma":[0.0002914653,0.00008309112,0.002528694,0.00004113497,0.0001107487,0.0001977888,0.00002605726,0.9773754,0.001739035,0.008358029,0.009214921,0.00003352155],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1432765,0.0008637385,0.7169111,0.002780091,0.0003432084,0.0005620381,0.03689448,0.08844025,0.009928542],"genre_scores_gemma":[0.3920505,0.0004314378,0.5560142,0.001066026,0.0001662994,0.001380197,0.03972089,0.003623269,0.005547118],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01181163,"threshold_uncertainty_score":0.03951389,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1307082533667497,"score_gpt":0.4334413052413955,"score_spread":0.3027330518746458,"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."}}