{"id":"W2966258113","doi":"10.1016/j.celrep.2019.06.097","title":"Histone Recycling by FACT and Spt6 during Transcription Prevents the Scrambling of Histone Modifications","year":2019,"lang":"en","type":"article","venue":"Cell Reports","topic":"Genomics and Chromatin Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":115,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Montreal Clinical Research Institute","funders":"Fonds de recherche du Québec – Nature et technologies; Canadian Institutes of Health Research; Fonds de Recherche du Québec - Santé; Compute Canada","keywords":"Epigenomics; Histone; Histone methylation; Histone code; Epigenome; Nucleosome; Transcription (linguistics); Biology; Cell biology; Histone H2A; Genetics; Chemistry; DNA methylation; DNA; Gene expression; Gene","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001451136,0.00008409651,0.00009939811,0.00001821468,0.00006900728,0.00001022485,0.0000635789,0.00007280232,0.000009104749],"category_scores_gemma":[0.00001119665,0.00007414096,0.00005113751,0.00003107278,0.00003739186,0.000003227354,0.00002974893,0.00005728294,9.472988e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002003255,"about_ca_system_score_gemma":0.00002510521,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002861726,"about_ca_topic_score_gemma":0.000003861909,"domain_scores_codex":[0.9992956,0.00001708768,0.0002734832,0.0002297047,0.00007725438,0.0001068966],"domain_scores_gemma":[0.9993694,0.000004349947,0.0002159977,0.000346608,0.00003151354,0.00003211217],"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":[0.000007142088,0.0000356026,0.001511856,0.00004984727,0.00001105901,0.000001233195,0.0000901986,0.0003641907,0.9976482,0.000004400571,0.00008058009,0.0001956873],"study_design_scores_gemma":[0.0003071961,0.00006290583,0.006641576,0.00002650258,0.0000376842,0.00006587514,0.000132515,0.0008280364,0.9865537,0.0001213126,0.005043221,0.0001794573],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957575,0.001581201,0.0004331135,0.00002895025,0.0001441975,0.0001968261,0.000006665589,0.000005001896,0.001846501],"genre_scores_gemma":[0.9942842,0.0003228606,0.0002867731,0.00001212585,0.00002036303,0.000007066485,0.00007734434,0.00001502312,0.004974226],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01109449,"threshold_uncertainty_score":0.3023381,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007632300766194903,"score_gpt":0.2459904189663054,"score_spread":0.2383581182001105,"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."}}