{"id":"W2803821709","doi":"10.1200/jco.2018.36.4_suppl.634","title":"Predictors for detecting circulating tumor DNA (ctDNA) in metastatic colorectal cancer (mCRC).","year":2018,"lang":"en","type":"article","venue":"Journal of Clinical Oncology","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Cancer Agency","funders":"","keywords":"Medicine; Colorectal cancer; Internal medicine; Oncology; Proportional hazards model; Circulating tumor DNA; Lymph node; Cancer; Logistic regression; Gastroenterology","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":[0.0007004087,0.000325344,0.0002816283,0.0006818018,0.0002034301,0.0003203282,0.0002517197,0.0004704114,0.001767304],"category_scores_gemma":[0.003975024,0.0001664516,0.0003338677,0.0005825995,0.0002505637,0.0002752547,0.0002608014,0.0004635838,0.0002479848],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001831985,"about_ca_system_score_gemma":0.0002593654,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001283285,"about_ca_topic_score_gemma":0.001423709,"domain_scores_codex":[0.9997081,0.00007959808,0.00003244617,0.00005866016,0.00008610824,0.00003498545],"domain_scores_gemma":[0.9975867,0.0009820806,0.0008878648,0.00006307428,0.0001512646,0.0003289492],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002750794,0.00001075999,0.9981585,0.000009080039,0.00001971387,0.00008093267,0.000005468233,0.00007978285,0.0003042451,0.000005357172,0.00003762183,0.001013501],"study_design_scores_gemma":[0.0000299444,0.0004756096,0.9949974,0.00001225389,0.0001042418,0.001619167,0.00005015983,0.001985809,0.0004087004,0.00004481858,0.0002676555,0.000004206119],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986635,0.0006938073,0.0002571197,0.00004941989,0.000008075025,0.000008350374,0.0001306053,0.000006326342,0.0001827451],"genre_scores_gemma":[0.9995858,0.00007288136,0.0001614525,0.000006146606,0.000008450182,0.000003523911,0.0001096367,0.000001243429,0.00005087624],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001767304,"threshold_uncertainty_score":0.005912244,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0707007655400564,"score_gpt":0.429125911055726,"score_spread":0.3584251455156696,"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."}}