{"id":"W3011066241","doi":"10.1515/cclm-2020-0083","title":"Circulating tumor DNA (ctDNA) is not a good proxy for liquid biopsies of tumor tissues for early detection","year":2020,"lang":"en","type":"article","venue":"Clinical Chemistry and Laboratory Medicine (CCLM)","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University Health Network; Mount Sinai Hospital","funders":"","keywords":"Circulating tumor DNA; Liquid biopsy; Medicine; Cancer; Oncology; Pathology; Biology; Cancer research; Computational biology; Internal medicine","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":[0.007835248,0.0006743807,0.001130532,0.002341479,0.0004444071,0.0034747,0.0008263474,0.001773635,0.002156898],"category_scores_gemma":[0.01879785,0.0005104026,0.0003355708,0.001797108,0.002288856,0.002241011,0.0007150188,0.002212316,0.001909312],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007134951,"about_ca_system_score_gemma":0.000988911,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001338482,"about_ca_topic_score_gemma":0.001955753,"domain_scores_codex":[0.9923211,0.00329133,0.000473655,0.001409138,0.002240261,0.0002645578],"domain_scores_gemma":[0.9777363,0.01319966,0.003749576,0.001523623,0.002946281,0.0008444925],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001787796,0.0002647203,0.3795826,0.002771977,0.0006706666,0.000968672,0.0006979252,0.0010908,0.27797,0.01137839,0.01430815,0.3085082],"study_design_scores_gemma":[0.0001340248,0.003034523,0.3025767,0.002205944,0.001062847,0.01785451,0.00181126,0.008050726,0.4950191,0.02704007,0.1407831,0.0004272684],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.346487,0.2963812,0.2808817,0.03165948,0.004904574,0.000296032,0.004712049,0.001710327,0.03296763],"genre_scores_gemma":[0.8289179,0.02797228,0.1219103,0.01029407,0.00132055,0.0001491871,0.001360053,0.000317042,0.007758534],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007835248,"threshold_uncertainty_score":0.04143727,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0321242902106369,"score_gpt":0.3216339494530417,"score_spread":0.2895096592424048,"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."}}