{"id":"W4405361506","doi":"10.1126/sciadv.adq0987","title":"Transcription processes compete with loop extrusion to homogenize promoter and enhancer dynamics","year":2024,"lang":"en","type":"article","venue":"Science Advances","topic":"Genomics and Chromatin Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Human Genome Research Institute","keywords":"Enhancer; CTCF; Chromatin; Biology; Genetics; Gene; Transcription (linguistics); Cohesin; Transcription factor; Regulation of gene expression; Transcriptional regulation; Computational biology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001222529,0.0001056474,0.00007043982,0.00005487805,0.0001343456,0.0001291474,0.0001629607,0.00002901855,0.000004958872],"category_scores_gemma":[0.00001617178,0.0000791983,0.00001331485,0.0003402899,0.00023978,0.00003080512,0.00005292603,0.00003999027,0.000004070109],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002176276,"about_ca_system_score_gemma":0.0001621825,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002749676,"about_ca_topic_score_gemma":0.0002362479,"domain_scores_codex":[0.9991366,0.000005457129,0.00009087597,0.0004217777,0.0001488653,0.0001964711],"domain_scores_gemma":[0.9996766,0.000004127494,0.00001965529,0.0001375375,0.00008675051,0.00007529894],"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":[0.00001908774,0.00001211275,0.0002932917,0.000117952,0.000004365183,0.000002141738,0.0001576337,0.0002345444,0.9692452,0.0001244129,0.000007251577,0.02978201],"study_design_scores_gemma":[0.0002873133,0.001131252,0.001524117,0.0002675981,0.00002743835,0.0001060424,0.0005476924,0.006654116,0.9706012,0.0007625638,0.01754194,0.000548715],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9809334,0.003139819,0.01502291,0.0002333001,0.0001438333,0.0001713336,0.00001726909,0.00001857342,0.0003195103],"genre_scores_gemma":[0.992524,0.0003895424,0.00646151,0.00007132578,0.00004687783,0.00002059951,0.00001490058,0.00001148087,0.0004597675],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0292333,"threshold_uncertainty_score":0.3229613,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004173706446450329,"score_gpt":0.2383160367202874,"score_spread":0.234142330273837,"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."}}