{"id":"W3012544261","doi":"10.1038/s43018-020-0043-5","title":"Circulating tumor DNA and liquid biopsy in oncology","year":2020,"lang":"en","type":"review","venue":"Nature Cancer","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":581,"is_retracted":false,"has_abstract":false,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto; University Health Network","funders":"Canadian Cancer Society Research Institute; Terry Fox Research Institute","keywords":"Liquid biopsy; Circulating tumor DNA; Precision oncology; Biopsy; Medicine; Clinical Oncology; Clinical trial; Oncology; Radiology; Cancer; Medical physics; Internal medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001705476,0.001235438,0.001923203,0.002353253,0.000274723,0.001605458,0.001259818,0.002120092,0.004474939],"category_scores_gemma":[0.002901783,0.0004508005,0.0005475456,0.002470184,0.0009618033,0.001959546,0.001158731,0.003401696,0.003045547],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001281127,"about_ca_system_score_gemma":0.001784049,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001963691,"about_ca_topic_score_gemma":0.003977412,"domain_scores_codex":[0.9996161,0.0001013634,0.00004225691,0.00006426857,0.0001399719,0.00003581912],"domain_scores_gemma":[0.9988438,0.0006730448,0.0000951523,0.00002811666,0.0002548166,0.0001050828],"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":[0.0001198476,0.00004641936,0.0001522108,0.007815721,0.00006182973,0.0001264052,0.00002306516,0.0003631361,0.0004615805,0.004190254,0.09413948,0.8925],"study_design_scores_gemma":[0.00004987063,0.00007313623,0.0005108408,0.004052205,0.0001194384,0.0007299294,0.00003195564,0.0001492965,0.0001749356,0.003267028,0.9908186,0.00002273822],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00002009123,0.9985121,0.0001155574,0.0004317415,0.0004437968,0.000002316982,0.00001241308,0.000005389679,0.0004567252],"genre_scores_gemma":[0.000291044,0.9974324,0.0001935563,0.0006712137,0.0008057153,0.000006390342,0.00003146417,0.0000022188,0.0005659165],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004474939,"threshold_uncertainty_score":0.01497018,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01723535863365147,"score_gpt":0.345945636979847,"score_spread":0.3287102783461955,"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."}}