{"id":"W2803932097","doi":"10.1200/jco.2018.36.4_suppl.641","title":"Serial monitoring of ctDNA to highlight mutation profiles in colorectal cancer.","year":2018,"lang":"en","type":"article","venue":"Journal of Clinical Oncology","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Cancer Agency","funders":"","keywords":"Colorectal cancer; Medicine; Allele; Cancer; Mutation; Genotype; Allele frequency; Mutant; Cancer research; Molecular biology; Internal medicine; Genetics; Biology; Gene","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":[0.0006302567,0.0003650215,0.000377197,0.001129977,0.0001790416,0.000505778,0.0002395409,0.0003843139,0.0007734671],"category_scores_gemma":[0.002650378,0.0001758581,0.0001448047,0.0006891146,0.0002001604,0.000399269,0.0001832867,0.0003723525,0.0002962343],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004534956,"about_ca_system_score_gemma":0.000195576,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001300873,"about_ca_topic_score_gemma":0.001757728,"domain_scores_codex":[0.9995546,0.00009130673,0.00005173019,0.0001061555,0.0001540642,0.00004220989],"domain_scores_gemma":[0.9985668,0.0003859474,0.0004982345,0.00007801298,0.0003023286,0.0001686714],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002477716,0.0001197801,0.8098009,0.0002248677,0.00008449201,0.001063051,0.0003158147,0.0006269142,0.1211335,0.00006848534,0.0005854698,0.06349906],"study_design_scores_gemma":[0.00007283779,0.003610878,0.8499189,0.00005830236,0.000206353,0.0119314,0.0002357027,0.006075074,0.1236688,0.0001285988,0.004060713,0.000032473],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9921193,0.004425716,0.001802588,0.0001062575,0.00002776835,0.00005158176,0.0003519965,0.0001123699,0.001002342],"genre_scores_gemma":[0.9966517,0.00052525,0.002012776,0.00004810602,0.00002199738,0.00002483397,0.0003015065,0.00001215916,0.0004017471],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001300873,"threshold_uncertainty_score":0.003333151,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0508516287036483,"score_gpt":0.4334117833455756,"score_spread":0.3825601546419273,"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."}}