{"id":"W3092125507","doi":"10.1002/pbc.28758","title":"Considerations for the use of circulating tumor DNA sequencing as a screening tool in cancer predisposition syndromes","year":2020,"lang":"en","type":"article","venue":"Pediatric Blood & Cancer","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"SickKids Foundation; Princess Margaret Cancer Centre; Hospital for Sick Children; Ontario Institute for Cancer Research; University of Toronto","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Cancer; Liquid biopsy; Circulating tumor DNA; Cancer detection; Molecular diagnostics; Disease; Stage (stratigraphy); DNA sequencing; Oncology; Internal medicine; Bioinformatics; DNA; Genetics; Biology","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":[0.05594198,0.001117791,0.002356189,0.003323742,0.001088978,0.005513009,0.002875632,0.006810367,0.002826142],"category_scores_gemma":[0.08770061,0.0007386996,0.001445681,0.001131916,0.005297232,0.004425589,0.001825518,0.009152422,0.001818812],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001517038,"about_ca_system_score_gemma":0.003872362,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003633705,"about_ca_topic_score_gemma":0.005638199,"domain_scores_codex":[0.9729637,0.016204,0.002716799,0.002243037,0.005203195,0.0006693157],"domain_scores_gemma":[0.8772907,0.09771628,0.002752271,0.002977198,0.01592111,0.003342479],"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":[0.002232082,0.0004409387,0.1096728,0.002212214,0.0004152427,0.01171853,0.003004696,0.003262362,0.01355196,0.04692338,0.09069958,0.7158662],"study_design_scores_gemma":[0.0005032316,0.004416673,0.09436946,0.01769947,0.001630716,0.08445395,0.008143782,0.01602308,0.01631841,0.1184694,0.6371186,0.0008532172],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.04408775,0.2581962,0.08272787,0.5629752,0.01008636,0.0003698519,0.0006036158,0.0008697578,0.04008349],"genre_scores_gemma":[0.4381566,0.1083348,0.2633027,0.1485634,0.02926251,0.001267646,0.0006621082,0.0004662785,0.009984014],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05594198,"threshold_uncertainty_score":0.295853,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07232407715955652,"score_gpt":0.282988564774138,"score_spread":0.2106644876145815,"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."}}