{"id":"W2943565361","doi":"10.1016/j.athoracsur.2019.04.004","title":"Detection of Circulating Tumor DNA in Plasma: A Potential Biomarker for Esophageal Adenocarcinoma","year":2019,"lang":"en","type":"article","venue":"The Annals of Thoracic Surgery","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":49,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ontario Institute for Cancer Research","funders":"National Cancer Institute; National Institutes of Health","keywords":"Medicine; Biomarker; Liquid biopsy; Circulating tumor DNA; Internal medicine; Stage (stratigraphy); Oncology; Population; Adenocarcinoma; Disease; Esophageal cancer; Biopsy; Cancer; Pathology; Gastroenterology; Biology; Genetics","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":[0.0006750541,0.00009272659,0.0002095261,0.0000810069,0.00002413121,0.000007260346,0.0001093568,0.0000650888,0.000007975294],"category_scores_gemma":[0.0002483349,0.00008064608,0.000199992,0.0001067044,0.00004470431,0.000003691789,0.00006216241,0.00003936615,0.000001689982],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004986194,"about_ca_system_score_gemma":0.00007787543,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006692069,"about_ca_topic_score_gemma":0.00002498344,"domain_scores_codex":[0.9991885,0.00005640988,0.00031171,0.000174732,0.00008844271,0.0001801942],"domain_scores_gemma":[0.9991884,0.0001997184,0.0002174432,0.0002670778,0.000101026,0.00002633908],"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":[0.001019184,0.00005867195,0.02201635,0.000151091,0.00006598458,0.000003648486,0.0000397499,0.0005089181,0.9575297,0.00001357145,0.0002516249,0.01834154],"study_design_scores_gemma":[0.0001301259,0.00009530404,0.05299209,0.00004350273,0.00001748546,0.00001425717,0.00006505378,0.001596643,0.9445169,0.0001753448,0.0002475717,0.0001057301],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976479,0.001365109,0.0002925126,0.0001064705,0.0002654332,0.0002279997,0.00004301676,0.000002615827,0.00004887414],"genre_scores_gemma":[0.9995838,0.0000874086,0.00004452253,0.0000921218,0.0001006521,0.00001674774,0.00002870748,0.00001652581,0.00002955656],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03097574,"threshold_uncertainty_score":0.3288652,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.042231507244391,"score_gpt":0.3142372824323431,"score_spread":0.2720057751879521,"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."}}