{"id":"W4312783363","doi":"10.1515/biol-2022-0449","title":"Early cancer detection by a targeted methylation assay of circulating tumor DNA in plasma","year":2022,"lang":"en","type":"article","venue":"Open Life Sciences","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Mount Sinai Hospital; University Health Network; University of Toronto","funders":"","keywords":"Biology; DNA methylation; Cancer; DNA; Methylation; Circulating tumor DNA; Molecular biology; Cancer research; Cancer detection; Genetics; Computational biology; Gene; Gene expression","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006810349,0.0000578357,0.00009163646,0.00004512989,0.0001786039,0.00003732523,0.0003011313,0.00002040945,0.00006221871],"category_scores_gemma":[0.0001888152,0.00006027217,0.00002349693,0.0002937287,0.00006167548,0.000009992919,0.0002564873,0.00005161179,5.137762e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003273184,"about_ca_system_score_gemma":0.0002244583,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003072646,"about_ca_topic_score_gemma":0.0006985712,"domain_scores_codex":[0.9992257,0.00007905537,0.0001695925,0.0002434875,0.0001536841,0.0001285058],"domain_scores_gemma":[0.9996823,0.00003041457,0.0001332801,0.00009177863,0.00002738496,0.00003481211],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00003173991,0.00002838624,0.01343174,0.000003380786,0.000007036987,5.021642e-7,0.000117686,0.007429289,0.9743164,0.00003245235,0.0003328522,0.00426858],"study_design_scores_gemma":[0.0008673535,0.000657057,0.02297755,0.00001143068,0.00001206373,0.000003640062,0.0008710746,0.01079865,0.9517975,0.0002417121,0.01147952,0.0002823929],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978287,0.0005723108,0.0001666569,0.0001050683,0.0001958222,0.000183324,0.00006261549,0.000001777284,0.0008837643],"genre_scores_gemma":[0.9994054,0.00003016232,0.0002321236,0.0001467714,0.0000374816,0.00007796647,0.00001568782,0.000005238656,0.00004913401],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0225188,"threshold_uncertainty_score":0.4644943,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01760023603556195,"score_gpt":0.2834353747247459,"score_spread":0.265835138689184,"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."}}