{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002283949,0.0005306081,0.0006888466,0.000396366,0.0009378135,0.001446392,0.0009467924,0.006320172,0.004276968],"category_scores_gemma":[0.007007036,0.0004439417,0.0004693815,0.0001749939,0.002002354,0.001573883,0.0009944253,0.009013829,0.003268392],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000973681,"about_ca_system_score_gemma":0.0004041876,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006110027,"about_ca_topic_score_gemma":0.001084563,"domain_scores_codex":[0.9989555,0.000372948,0.00006711173,0.0001758885,0.0003215001,0.0001069195],"domain_scores_gemma":[0.9975765,0.001704159,0.0001036184,0.000244182,0.0002123891,0.0001591865],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001699329,0.0003558706,0.004029181,0.0008831774,0.0001616271,0.003325429,0.0003407742,0.0007676055,0.1241162,0.07017075,0.5659875,0.2281625],"study_design_scores_gemma":[0.0003707554,0.0004507963,0.002282046,0.0001390862,0.0001349928,0.004362344,0.0002445842,0.00608721,0.1912636,0.09055984,0.7039843,0.0001204738],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"methods","genre_scores_codex":[0.01657057,0.03072893,0.07559951,0.7831217,0.05943373,0.0001902547,0.0007874257,0.001107828,0.03245997],"genre_scores_gemma":[0.3339886,0.02545158,0.06982609,0.4409036,0.03377565,0.0008067983,0.0005462883,0.0003492572,0.0943522],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.006320172,"threshold_uncertainty_score":0.01430786,"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."}}