{"id":"W4402198072","doi":"10.3390/genes15091160","title":"Cell-Free DNA Hydroxymethylation in Cancer: Current and Emerging Detection Methods and Clinical Applications","year":2024,"lang":"en","type":"review","venue":"Genes","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; Princess Margaret Cancer Centre; University of Toronto","funders":"National Cancer Institute; Weill Cornell Medical College; Terry Fox Research Institute; Memorial Sloan-Kettering Cancer Center; University of Toronto; Canada Foundation for Innovation; Canadian Institutes of Health Research; Cancer Research Society","keywords":"5-Hydroxymethylcytosine; Epigenetics; DNA demethylation; DNA methylation; Cancer; Context (archaeology); Biology; Biomarker; DNA; Computational biology; Cancer research; Bioinformatics; Gene; Genetics; Gene expression","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006937014,0.0002330562,0.0004441356,0.0001422828,0.00005822425,0.00003932521,0.0001102784,0.0003258517,0.000001827631],"category_scores_gemma":[0.0000442127,0.0002087903,0.0001391082,0.0001865814,0.00004896991,0.000002887184,0.0002114112,0.0002122494,0.000002124074],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002192658,"about_ca_system_score_gemma":0.00008524939,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000021749,"about_ca_topic_score_gemma":0.0001021232,"domain_scores_codex":[0.9983845,0.000292408,0.0005218051,0.0005837136,0.00007042499,0.0001471359],"domain_scores_gemma":[0.9993402,0.00005462011,0.0001796121,0.0003262623,0.00003207973,0.00006720489],"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":[0.000001339469,0.00001663577,0.00008736753,0.002170094,0.00003102834,1.794677e-7,0.000007691363,0.000002789302,0.002103906,0.000006062965,0.00001367966,0.9955592],"study_design_scores_gemma":[0.0001153914,0.00004353129,0.00006671008,0.0003731498,0.0004457488,0.000001590709,0.000005129446,0.0001287147,0.00327474,0.000343792,0.9949695,0.0002320007],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001633749,0.9875494,0.009783979,0.00001309818,0.0004039331,0.0005294277,0.00003168157,0.00001112817,0.00004364689],"genre_scores_gemma":[0.000212486,0.9960375,0.002671693,0.000003650002,0.0005511115,0.0003099255,0.0001139051,0.00003797972,0.00006172313],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9953272,"threshold_uncertainty_score":0.8514221,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05834418787273998,"score_gpt":0.4689556237646686,"score_spread":0.4106114358919286,"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."}}