{"id":"W2896260190","doi":"10.1093/annonc/mdy281.131","title":"Clinical benefit of whole genome and transcriptome analysis (WGTA) in metastatic colorectal cancer (MCRC): Results from the personalized oncogenomics program (POG)","year":2018,"lang":"en","type":"article","venue":"Annals of Oncology","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Genome British Columbia; BC Cancer Agency","funders":"","keywords":"Medicine; KRAS; Neuroblastoma RAS viral oncogene homolog; Colorectal cancer; Concordance; Regorafenib; Oncology; PDGFRA; Internal medicine; Bevacizumab; Transcriptome; Trametinib; Cancer; Bioinformatics; Chemotherapy; Gene; Genetics; Gene expression; Stromal cell","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":[0.001241388,0.0002432651,0.0003026885,0.0003219432,0.0001462461,0.0005414124,0.0001132252,0.0002116986,0.001054084],"category_scores_gemma":[0.002499788,0.0000702183,0.0003386551,0.0004187807,0.0001890871,0.0002931869,0.0003467106,0.0002969381,0.000155703],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002986957,"about_ca_system_score_gemma":0.000208545,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007853576,"about_ca_topic_score_gemma":0.001234252,"domain_scores_codex":[0.9996225,0.000150456,0.00002323215,0.00008788768,0.00008079608,0.00003512734],"domain_scores_gemma":[0.9989591,0.0004504896,0.0001980664,0.00009118448,0.0001594138,0.0001417077],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004043427,0.0002069873,0.7653378,0.000190855,0.0003871549,0.0004399575,0.0001232866,0.002130644,0.01930801,0.000112198,0.001897758,0.2058218],"study_design_scores_gemma":[0.00006891265,0.001434566,0.9872658,0.00002863833,0.0003275977,0.0009525922,0.0001045845,0.00379104,0.003492918,0.0002663983,0.002254049,0.00001289715],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943204,0.002209959,0.001133469,0.0004550939,0.00001794974,0.0000247657,0.0006532672,0.00005307711,0.001132145],"genre_scores_gemma":[0.9973493,0.0005768529,0.001114476,0.0001089688,0.00002325114,0.0000081475,0.0006269764,0.00001495673,0.0001770372],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001241388,"threshold_uncertainty_score":0.006565154,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06606040137371953,"score_gpt":0.3995727697867605,"score_spread":0.3335123684130409,"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."}}