{"id":"W2975167630","doi":"10.1073/pnas.1907009116","title":"RNA polymerases as moving barriers to condensin loop extrusion","year":2019,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Genomics and Chromatin Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":168,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Indiana University Bloomington; National Institutes of Health; National Institute of General Medical Sciences; Natural Sciences and Engineering Research Council of Canada; Government of Canada","keywords":"Condensin; Biology; Sister chromatids; Transcription (linguistics); Cohesin; Cell biology; Chromosome segregation; DNA; Genetics; Chromatid; RNA polymerase II; DNA supercoil; Chromatin; Gene; Chromosome; DNA replication; Promoter; Gene expression","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003625337,0.00006588461,0.00008044518,0.00005571437,0.00009627024,0.00001584921,0.0004500234,0.00006638932,0.00002900878],"category_scores_gemma":[0.0003417887,0.00004859968,0.00004955416,0.0001901349,0.0001720317,0.00001046222,0.0002054123,0.00004886291,0.000003409137],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001031545,"about_ca_system_score_gemma":0.00005784204,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005892028,"about_ca_topic_score_gemma":8.100568e-8,"domain_scores_codex":[0.9991453,0.000002761172,0.0001620979,0.0001938494,0.000389339,0.0001066992],"domain_scores_gemma":[0.9996325,0.0000128195,0.0001640523,0.000009781349,0.0001270799,0.00005377816],"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":[0.00001036538,0.000005960969,0.004672136,0.0000126667,0.000006295852,1.360251e-9,0.0000392867,0.0001794068,0.990646,0.00398831,0.0002767034,0.000162839],"study_design_scores_gemma":[0.0001047426,0.00008348178,0.008493081,0.00003170689,0.000003770844,0.00000500896,0.0002663038,0.0007315237,0.9868838,0.00299903,0.000323758,0.00007385103],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934761,0.00009369227,8.164782e-7,0.0009117761,0.00002458051,0.000114056,0.000008762863,0.000002160024,0.005368046],"genre_scores_gemma":[0.9978348,0.00001787385,0.0006944722,0.0008103293,0.0000389075,0.000001995696,2.890766e-7,0.000003881843,0.000597438],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004770608,"threshold_uncertainty_score":0.1981838,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01159918956748334,"score_gpt":0.2664893014356462,"score_spread":0.2548901118681628,"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."}}