{"id":"W4285492196","doi":"10.1200/jco.21.02615","title":"Using Circulating Tumor DNA in Colorectal Cancer: Current and Evolving Practices","year":2022,"lang":"en","type":"review","venue":"Journal of Clinical Oncology","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":276,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"National Institute of General Medical Sciences","keywords":"Medicine; Circulating tumor DNA; Liquid biopsy; Colorectal cancer; Minimal residual disease; Oncology; Biomarker; Internal medicine; Circulating tumor cell; DNA methylation; Risk stratification; Disease; Personalized medicine; Profiling (computer programming); Precision medicine; Bioinformatics; Cancer; Pathology; Gene; Metastasis","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":[0.005650125,0.0006664015,0.001537725,0.003843517,0.0005178349,0.002596915,0.00149772,0.001813755,0.001503364],"category_scores_gemma":[0.01035548,0.0005058715,0.0007963694,0.00398932,0.001862844,0.003724272,0.001390588,0.002853689,0.001131079],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001507065,"about_ca_system_score_gemma":0.002406536,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003490145,"about_ca_topic_score_gemma":0.00423368,"domain_scores_codex":[0.9970955,0.0007533253,0.0005380824,0.000489407,0.001003966,0.0001198375],"domain_scores_gemma":[0.9895275,0.006244252,0.001048518,0.000303609,0.002476498,0.0003995496],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001154672,0.00003685059,0.003616904,0.008676996,0.00009562566,0.0002640093,0.0003705726,0.0002900814,0.001077737,0.002617514,0.01708859,0.9657497],"study_design_scores_gemma":[0.00002837467,0.000260802,0.01018754,0.01337774,0.0003271223,0.003850003,0.0007743069,0.0004945222,0.001766101,0.007312385,0.9615146,0.0001065427],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0006254807,0.992498,0.0008548293,0.004184091,0.0004379548,0.00001010996,0.00004020588,0.00003248252,0.001316871],"genre_scores_gemma":[0.00492513,0.9900181,0.002028851,0.001633069,0.000963357,0.00002418421,0.00006825018,0.00001427117,0.0003248293],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.005650125,"threshold_uncertainty_score":0.02988106,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2898120336780495,"score_gpt":0.5445730461990795,"score_spread":0.25476101252103,"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."}}