{"id":"W2157607227","doi":"10.1038/nmeth.3291","title":"Determining the epigenome using DNA alone","year":2015,"lang":"en","type":"letter","venue":"Nature Methods","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto","funders":"","keywords":"Epigenome; Computational biology; DNA; DNA methylation; Biology; Computer science; Genetics; 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":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.001787521,0.0003705006,0.0003529504,0.00008324207,0.0001505494,0.00007028985,0.0005280994,0.002951192,0.00001432522],"category_scores_gemma":[0.0007337097,0.0002698753,0.0002094243,0.0001485101,0.00009699769,0.00000250142,0.0002355669,0.002185505,0.000005073637],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004953982,"about_ca_system_score_gemma":0.0001994729,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007282846,"about_ca_topic_score_gemma":0.000004027947,"domain_scores_codex":[0.9974027,0.0009638837,0.0003151585,0.0005808065,0.0003323435,0.0004051108],"domain_scores_gemma":[0.9983077,0.0001335102,0.000275497,0.0008846153,0.0003341359,0.00006450734],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003480563,0.00003300037,0.0007378649,0.0001162981,0.0003485497,0.00004540333,0.0001342739,0.0001173479,0.4390743,0.000008539314,0.5020186,0.05733104],"study_design_scores_gemma":[0.0002027388,0.0000764754,0.0002158071,0.00001456682,0.0001008653,0.000004868604,0.000004844226,0.00006638895,0.08100131,0.0004853027,0.9174885,0.0003383636],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.1964729,0.2373304,0.2396989,0.2774431,0.02183225,0.003811577,0.0005349678,0.0002050592,0.02267093],"genre_scores_gemma":[0.009245261,0.0007052953,0.4639503,0.4843511,0.03246265,0.00005559055,0.002804113,0.0004118879,0.006013758],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.4154699,"threshold_uncertainty_score":0.9999753,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04837156581421619,"score_gpt":0.3946386789938326,"score_spread":0.3462671131796164,"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."}}