{"id":"W2100539673","doi":"10.1038/ncomms3190","title":"DNA unmethylome profiling by covalent capture of CpG sites","year":2013,"lang":"en","type":"article","venue":"Nature Communications","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":66,"is_retracted":false,"has_abstract":false,"ca_institutions":"Centre for Addiction and Mental Health","funders":"European Social Fund; National Institute of Diabetes and Digestive and Kidney Diseases; National Human Genome Research Institute; National Institute of Mental Health; National Institutes of Health; European Commission; Genome Canada","keywords":"Epigenome; CpG site; DNA methylation; Epigenetics; DNA; Computational biology; Biology; DNA methyltransferase; DNA microarray; Methyltransferase; Genetics; Genome; DNA sequencing; Human genome; Methylation; Gene; 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":[0.0003986357,0.0003842642,0.0002340653,0.0003774363,0.0003683657,0.0004359492,0.0006279339,0.0005819136,0.002122036],"category_scores_gemma":[0.0005916689,0.00030446,0.0003072807,0.0003956791,0.0003491179,0.0003433164,0.0005124345,0.001046114,0.0004623479],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002972211,"about_ca_system_score_gemma":0.0002705738,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007763647,"about_ca_topic_score_gemma":0.003422681,"domain_scores_codex":[0.9996955,0.00004391008,0.000009709503,0.0001119143,0.00007109876,0.00006789087],"domain_scores_gemma":[0.9997053,0.00008985843,0.00007249603,0.00005715203,0.00004246992,0.00003287616],"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":[0.0001000986,0.00002141281,0.0005482832,0.00004521887,0.00002454078,0.00002008095,0.00002353931,0.0001442248,0.9944422,0.0003014006,0.0000802663,0.004248815],"study_design_scores_gemma":[0.000007694024,0.00009513405,0.001806186,0.000002494808,0.00001806359,0.00003983289,0.00001318693,0.0009426821,0.9960157,0.0001069685,0.0009449856,0.000006963378],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.8840739,0.002398509,0.1041349,0.0003377572,0.0001213987,0.0001306212,0.00124737,0.000365549,0.007190143],"genre_scores_gemma":[0.9625489,0.001350928,0.02715494,0.000272414,0.00003250264,0.0001192042,0.001098473,0.0000691476,0.007353505],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.002122036,"threshold_uncertainty_score":0.007098973,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0135453903933101,"score_gpt":0.2891873831092996,"score_spread":0.2756419927159895,"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."}}