{"id":"W2774583854","doi":"10.12688/f1000research.13440.1","title":"Can circulating tumor DNA be used for direct and early stage cancer detection?","year":2017,"lang":"en","type":"preprint","venue":"F1000Research","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University Health Network; Mount Sinai Hospital","funders":"Canadian Cancer Society","keywords":"Open peer review; Plant biology; Stage (stratigraphy); Circulating tumor DNA; Biology; Physiology; Cancer; Medicine; Neuroscience; Computational biology; Internal medicine; Botany","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004737143,0.000247087,0.0002962395,0.00009045396,0.000368978,0.0003253333,0.0004321453,0.0002641836,0.00001978955],"category_scores_gemma":[0.0006188433,0.0002669802,0.00013959,0.00003131231,0.0001660035,0.000002692485,0.001084754,0.0003172827,8.905678e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009758436,"about_ca_system_score_gemma":0.0007238929,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006857725,"about_ca_topic_score_gemma":0.007817263,"domain_scores_codex":[0.9982404,0.00005533091,0.0002256307,0.0007481151,0.000255703,0.000474877],"domain_scores_gemma":[0.9984575,0.0001031788,0.0001719427,0.0008058181,0.000266755,0.0001948014],"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":[0.0003397933,0.00008429216,0.03659056,0.001060658,0.0005013517,0.00003775265,0.0004534784,0.0009487378,0.9405849,0.0001210004,0.003365131,0.01591237],"study_design_scores_gemma":[0.002177186,0.0006781158,0.04945802,0.0002474574,0.0001319835,0.000009710564,0.000126516,0.001905251,0.7474567,0.001103789,0.1954414,0.001263776],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9925945,0.002347581,0.0002533314,0.0005690551,0.0004868735,0.001121227,0.001959259,0.00001760049,0.0006505792],"genre_scores_gemma":[0.9941864,0.001223955,0.0001840532,0.00009013489,0.0009724834,0.0007732625,0.0001689525,0.00008521314,0.002315538],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1931281,"threshold_uncertainty_score":0.9999782,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04873980691521051,"score_gpt":0.3602891135199502,"score_spread":0.3115493066047397,"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."}}