{"id":"W3088578246","doi":"10.1016/j.annonc.2020.08.517","title":"406MO Sequencing paired tumor DNA and white blood cells (WBCs) increases sensitivity to track plasma circulating tumor DNA (ctDNA) for detecting minimal residual disease (MRD) in localized colon cancer (CC)","year":2020,"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":false,"ca_institutions":"","funders":"Foundation Medicine; Genentech; Sierra Oncology; Sirtex Medical; Ligue Contre le Cancer; FibroGen; Les Laboratories Pierre Fabre; Eli Lilly and Company; AstraZeneca; Celgene; Eisai; Ipsen; BeiGene; Daiichi Sankyo Europe; Sanofi; Servier; Amgen","keywords":"Somatic cell; Gene; Germline; DNA sequencing; Medicine; COLD-PCR; Cancer; Minimal residual disease; Germline mutation; Mutation; Genetics; Point mutation; Cancer research; Oncology; Biology; Internal medicine; Leukemia","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005135931,0.0004015517,0.0003162948,0.0006526209,0.0001771053,0.0006210408,0.0002031108,0.0006655573,0.002097932],"category_scores_gemma":[0.00107948,0.0003876677,0.0002316575,0.0002681367,0.0002711714,0.0002611676,0.0002574292,0.000447599,0.0008007472],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002958589,"about_ca_system_score_gemma":0.0002084637,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007290738,"about_ca_topic_score_gemma":0.002323144,"domain_scores_codex":[0.9995462,0.0001069247,0.00002188044,0.0001357148,0.0001405591,0.00004862969],"domain_scores_gemma":[0.9996674,0.0001209143,0.00005166824,0.0000291884,0.00007091196,0.00005983101],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.003998203,0.0003692541,0.1970304,0.0001572422,0.0001393661,0.0003101321,0.0001607902,0.0006754263,0.7008981,0.0001435494,0.001482355,0.09463522],"study_design_scores_gemma":[0.0002369027,0.006072341,0.4985682,0.0001089784,0.0004941467,0.004527678,0.0002166445,0.01969864,0.4593939,0.0006993518,0.009927372,0.00005578742],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9923403,0.002056315,0.001982906,0.0002652992,0.00007661412,0.00003044742,0.0002927727,0.0002752649,0.002680033],"genre_scores_gemma":[0.9909527,0.0005572272,0.005565334,0.0003507029,0.00003739279,0.0000327494,0.000411409,0.00003699121,0.002055469],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002097932,"threshold_uncertainty_score":0.007018268,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05004167930533197,"score_gpt":0.3090028326787866,"score_spread":0.2589611533734546,"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."}}