{"id":"W2064243840","doi":"10.1371/journal.pbio.1000401","title":"Roles for H2A.Z and Its Acetylation in GAL1 Transcription and Gene Induction, but Not GAL1-Transcriptional Memory","year":2010,"lang":"en","type":"article","venue":"PLoS Biology","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":86,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Canadian Institutes of Health Research; National Institute of General Medical Sciences; Canadian Institute for Advanced Research; National Science Foundation; National Institutes of Health; Michael Smith Health Research BC","keywords":"Biology; Acetylation; Genetics; Gene; Transcription (linguistics); Regulation of gene expression; Transcription factor; Gene expression; Histone; Epigenetics; Computational biology","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":[0.000241066,0.0001291698,0.0001365556,0.00008266203,0.00007662209,0.00001365253,0.00005469316,0.0003415266,0.00001196185],"category_scores_gemma":[0.0001104185,0.0001281298,0.00003379995,0.00004295411,0.00007877575,0.000009556469,0.00001759815,0.0001205718,0.000001093801],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000597146,"about_ca_system_score_gemma":0.0000291834,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001315767,"about_ca_topic_score_gemma":0.0002690017,"domain_scores_codex":[0.9991423,0.00005490514,0.0002147699,0.0003624125,0.00005020209,0.0001753801],"domain_scores_gemma":[0.9996297,0.00002101401,0.0000588638,0.0001089308,0.0001246427,0.00005680469],"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":[0.0001272662,0.00004409022,0.003291965,0.00002167446,0.00001891169,1.312742e-7,0.0000741822,0.00001140206,0.9926965,0.0005822622,0.000006826667,0.003124766],"study_design_scores_gemma":[0.0009216222,0.0002420745,0.03857533,0.000004493792,0.00002058583,0.000005739178,0.00002941806,0.0005290771,0.956122,0.00110446,0.002290855,0.0001543871],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953117,0.002027025,0.001435508,0.0005279465,0.0002432221,0.0003232394,0.00007217733,0.000009537231,0.00004961127],"genre_scores_gemma":[0.9966904,0.0009063361,0.00134927,0.0001202938,0.0003681153,0.00006822725,0.0003972827,0.0000153423,0.00008475847],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03657456,"threshold_uncertainty_score":0.5224983,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02114068646243895,"score_gpt":0.2576476643355951,"score_spread":0.2365069778731562,"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."}}