{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007717792,0.0007179863,0.001131593,0.002069795,0.0002609747,0.000826147,0.0007795354,0.001057376,0.003716682],"category_scores_gemma":[0.0008166411,0.0003135967,0.0004702687,0.001960015,0.0005635182,0.001321578,0.0007210723,0.001307589,0.002429231],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005175126,"about_ca_system_score_gemma":0.0008455902,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009316636,"about_ca_topic_score_gemma":0.001425246,"domain_scores_codex":[0.9997455,0.00004729016,0.0000261507,0.00005521803,0.0001042339,0.00002155102],"domain_scores_gemma":[0.99962,0.0002097021,0.0000415666,0.00001360412,0.0000896981,0.00002538866],"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":[0.000063625,0.00004035409,0.0002561465,0.01376273,0.00006350371,0.00017532,0.00006624698,0.0003548,0.005297303,0.004050566,0.01177,0.9640995],"study_design_scores_gemma":[0.000008472903,0.0001026195,0.000651111,0.001610779,0.00008549962,0.001273313,0.00005860666,0.0001440411,0.003109866,0.00223835,0.9906911,0.00002640758],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001492797,0.9981517,0.000414788,0.0001900356,0.0001191649,0.000004281342,0.0000203079,0.000009970112,0.0009404358],"genre_scores_gemma":[0.0009981216,0.9976202,0.0003890121,0.0001148262,0.00009967469,0.000007196419,0.00003993447,0.000002844514,0.000728238],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003716682,"threshold_uncertainty_score":0.01243353,"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."}}