{"id":"W4229661296","doi":"10.1093/nar/gky477","title":"Inferring and modeling inheritance of differentially methylated changes across multiple generations","year":2018,"lang":"en","type":"erratum","venue":"Nucleic Acids Research","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Wilfrid Laurier University; Université Laval","funders":"","keywords":"Biology; Genetics; Inheritance (genetic algorithm); Evolutionary biology; Computational biology; Gene","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":[0.002635285,0.0005472255,0.0006567605,0.001367864,0.0005530656,0.001267127,0.00140441,0.001368987,0.006025272],"category_scores_gemma":[0.01448989,0.0006008361,0.001631338,0.001256129,0.0005458182,0.0006192364,0.0008315064,0.001364517,0.0007608453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001012712,"about_ca_system_score_gemma":0.0009751264,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02273218,"about_ca_topic_score_gemma":0.0274256,"domain_scores_codex":[0.9993274,0.0002278652,0.00003860105,0.0002930868,0.00005635214,0.0000566546],"domain_scores_gemma":[0.9929088,0.006250496,0.0002143875,0.0003180573,0.000196162,0.0001121685],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004339369,0.0001030893,0.1466109,0.0001722568,0.000507878,0.001262023,0.0005013804,0.6388527,0.002026101,0.04069208,0.01552627,0.1533113],"study_design_scores_gemma":[0.0000548038,0.00003645679,0.01004004,0.0000444805,0.0001364396,0.0003421895,0.00005607589,0.9310102,0.0008186691,0.05311524,0.004315458,0.00002992043],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.3160116,0.001738229,0.6614925,0.0037743,0.0006298201,0.0001144027,0.01015365,0.001664283,0.004421352],"genre_scores_gemma":[0.7461945,0.00105502,0.2322333,0.0004969221,0.0002349137,0.0002087177,0.008198163,0.0003811975,0.01099736],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.02273218,"threshold_uncertainty_score":0.04519969,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08542495724372283,"score_gpt":0.3799124354713342,"score_spread":0.2944874782276114,"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."}}