{"id":"W4224238459","doi":"10.1126/sciadv.abi8618","title":"Monitoring and adapting cancer treatment using circulating tumor DNA kinetics: Current research, opportunities, and challenges","year":2022,"lang":"en","type":"review","venue":"Science Advances","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":185,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto; University Health Network","funders":"","keywords":"Circulating tumor DNA; Cancer; Adaptation (eye); Precision medicine; Medicine; Biomarker; Cancer treatment; Computational biology; Clinical Practice; Kinetics; Oncology; Bioinformatics; Cancer research; Biology; Internal medicine; Pathology; Genetics; Neuroscience","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005952144,0.0002677588,0.0004361487,0.0001807039,0.0005950724,0.0001172245,0.0002609114,0.00004602925,0.000005232441],"category_scores_gemma":[0.0001945601,0.0002390877,0.00006287546,0.0002054028,0.0005765277,0.00001813077,0.000548713,0.0001607585,1.583564e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002870115,"about_ca_system_score_gemma":0.0009521176,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007163381,"about_ca_topic_score_gemma":0.00003665164,"domain_scores_codex":[0.9980446,0.00008929831,0.0002832281,0.0007731352,0.0003350706,0.0004746334],"domain_scores_gemma":[0.9991193,0.0001340489,0.0002127916,0.0002842596,0.00007994847,0.0001695854],"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":[0.000001914372,0.00001744785,0.00001862502,0.001243266,0.00001324488,0.000007633297,0.00008354382,0.00002932277,0.0008355199,0.0000340857,7.976648e-7,0.9977146],"study_design_scores_gemma":[0.00008755931,0.0002101133,0.000006949478,0.00186395,0.00006990152,0.00004428099,0.0008321367,0.00002026106,0.0004915589,0.00002989425,0.9960704,0.0002730089],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.006728484,0.9921315,0.000003693109,0.00001991355,0.0005918105,0.0003281354,0.00005947191,0.000006358986,0.000130641],"genre_scores_gemma":[0.001087366,0.9977146,0.0003837637,0.000003528216,0.0006016205,0.0001529655,0.00001052742,0.00002958805,0.00001601745],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9974416,"threshold_uncertainty_score":0.9749712,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.42406088960205,"score_gpt":0.4609433625287622,"score_spread":0.03688247292671215,"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."}}