{"id":"W2078236750","doi":"10.1093/nar/gku846","title":"MACE: model based analysis of ChIP-exo","year":2014,"lang":"en","type":"article","venue":"Nucleic Acids Research","topic":"Genomics and Chromatin Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":91,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; SickKids Foundation","funders":"National Cancer Institute; National Human Genome Research Institute; National Institutes of Health; Cancer Prevention and Research Institute of Texas","keywords":"Biology; CTCF; Chromatin immunoprecipitation; Computational biology; ChIP-sequencing; Chromatin; Genetics; DNA binding site; Transcription factor; Nucleosome; Gene; Promoter; 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":[0.002141362,0.002171607,0.001538265,0.00149649,0.000585663,0.001663183,0.002577621,0.001305875,0.007599829],"category_scores_gemma":[0.004688979,0.0007882937,0.00239879,0.000929721,0.0006616104,0.001112454,0.001784525,0.001987718,0.001507693],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007824685,"about_ca_system_score_gemma":0.001239851,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002533517,"about_ca_topic_score_gemma":0.002129444,"domain_scores_codex":[0.9990419,0.000286694,0.00005061583,0.0002488717,0.0002932158,0.00007867868],"domain_scores_gemma":[0.9978389,0.001381132,0.0001341124,0.0003709051,0.0002107882,0.00006421455],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000741799,0.0003914887,0.006169887,0.0010842,0.0008785631,0.0006591235,0.0002427411,0.6534394,0.06421889,0.1244298,0.02263799,0.1251061],"study_design_scores_gemma":[0.00001447701,0.00002514644,0.0004336624,0.00000631634,0.00001265982,0.00004690153,0.000007345118,0.9847139,0.003840008,0.007818697,0.003062227,0.00001872971],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008301795,0.0001402397,0.9782914,0.00009709114,0.00003733236,0.00009308694,0.001560751,0.01073861,0.0007397665],"genre_scores_gemma":[0.1698107,0.0003167248,0.8172774,0.000275444,0.0000719254,0.001675939,0.006680803,0.002504366,0.001386742],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007599829,"threshold_uncertainty_score":0.02542394,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02254149086539023,"score_gpt":0.3162792446876161,"score_spread":0.2937377538222259,"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."}}