{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005296544,0.0004511352,0.000383957,0.001242952,0.0002275145,0.0009526926,0.0003567878,0.001081304,0.001634103],"category_scores_gemma":[0.002594884,0.0002671584,0.0001926484,0.0007428437,0.0003227471,0.0005380518,0.0002550947,0.000666413,0.0005676086],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002302456,"about_ca_system_score_gemma":0.0003151856,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002516485,"about_ca_topic_score_gemma":0.0002591197,"domain_scores_codex":[0.9996406,0.00009185138,0.00003388566,0.00008801594,0.0001016665,0.00004409954],"domain_scores_gemma":[0.9990737,0.0004602096,0.0001957659,0.00003713593,0.0001348616,0.00009824097],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001767498,0.0003075798,0.5860201,0.0004514512,0.0001774455,0.002639911,0.0003463726,0.0008589003,0.2966582,0.0006473002,0.001867347,0.1082579],"study_design_scores_gemma":[0.0002068218,0.004237473,0.6421735,0.0003045004,0.0005471367,0.03121919,0.0009746096,0.01843866,0.2769265,0.003792588,0.02109063,0.00008838739],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9694848,0.0125646,0.01046869,0.001400627,0.0003439238,0.00006624046,0.001078195,0.0003814283,0.00421142],"genre_scores_gemma":[0.9919364,0.001217186,0.004729079,0.0003698149,0.0002049634,0.00003617681,0.0003815652,0.00001624646,0.001108562],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001634103,"threshold_uncertainty_score":0.00546658,"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."}}