{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001728512,0.0003164722,0.0003188432,0.000147329,0.000253014,0.0005201378,0.0004040626,0.000306932,0.00181024],"category_scores_gemma":[0.0005869701,0.0002412404,0.0002351385,0.0001098296,0.0003822092,0.0006499357,0.0006204785,0.0004077307,0.0002832796],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004162272,"about_ca_system_score_gemma":0.0003319473,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006289914,"about_ca_topic_score_gemma":0.000945401,"domain_scores_codex":[0.9998688,0.00001250227,0.000006061349,0.00004757764,0.00003399125,0.0000310446],"domain_scores_gemma":[0.9997469,0.0001074482,0.00005256541,0.00003843714,0.00001916241,0.00003550901],"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":[0.0001319787,0.00004712879,0.002684557,0.00004361894,0.00001708882,0.0001165546,0.00009151684,0.01400517,0.973774,0.003465926,0.00005327917,0.005569132],"study_design_scores_gemma":[0.00008869947,0.0003221605,0.01208781,0.00001231885,0.00002910462,0.0003055013,0.0001651672,0.2264561,0.7529092,0.004517338,0.003066248,0.00004035362],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9680071,0.0003065217,0.02985118,0.0000988795,0.00001627767,0.0000165506,0.0000442004,0.0001518357,0.001507523],"genre_scores_gemma":[0.9962263,0.0001228072,0.002920841,0.00001201798,0.000004835891,0.00001961184,0.00003927273,0.00003163421,0.0006226152],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00181024,"threshold_uncertainty_score":0.006055892,"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."}}