{"id":"W4393093557","doi":"10.1158/1538-7445.am2024-3454","title":"Abstract 3454: Cell-free DNA methylation and fragmentomic signatures identify tissue damage and predict cancer risk","year":2024,"lang":"en","type":"article","venue":"Cancer Research","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University; Princess Margaret Cancer Centre; Ontario Institute for Cancer Research","funders":"","keywords":"Cancer; DNA methylation; Biology; Computational biology; Methylation; DNA; Genetics; Cancer research; Gene; Gene expression","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0002255905,0.0002081703,0.0002396686,0.0003945772,0.0002956906,0.0003904356,0.000267874,0.0003391726,0.00313293],"category_scores_gemma":[0.0006552556,0.0001448487,0.000244196,0.000409338,0.0002170695,0.0001129245,0.0002710988,0.0003168448,0.0004706658],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005807949,"about_ca_system_score_gemma":0.0004594119,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03779899,"about_ca_topic_score_gemma":0.05215736,"domain_scores_codex":[0.9998493,0.00001696604,0.000006226214,0.00005891913,0.00004251292,0.00002605741],"domain_scores_gemma":[0.9998041,0.00003703634,0.00005364339,0.0000222845,0.00005270436,0.00003024764],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007560826,0.00005419046,0.6784664,0.0001530752,0.0002761683,0.0001334841,0.0002370313,0.001008003,0.3005413,0.0001891278,0.002216121,0.01596908],"study_design_scores_gemma":[0.00001989147,0.0001088995,0.976871,0.00001208855,0.0001077022,0.0002225965,0.00008914372,0.00194573,0.01765475,0.0001788631,0.002777547,0.00001193461],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.9857557,0.0007711236,0.003290538,0.0001534632,0.00001776037,0.00002685487,0.008836669,0.00007865232,0.001069197],"genre_scores_gemma":[0.9921607,0.0001471212,0.001546101,0.00008745972,0.000008137861,0.00001971851,0.00433614,0.00001291232,0.001681662],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.03779899,"threshold_uncertainty_score":0.075158,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02116081514798437,"score_gpt":0.3731252419718662,"score_spread":0.3519644268238818,"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."}}