{"id":"W2921178186","doi":"10.1101/571737","title":"Sen1 is required for RNA Polymerase III transcription termination in an R-loop independent manner","year":2019,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Genomics and Chromatin Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Hospitalier Universitaire de Sherbrooke; Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada; Ligue Contre le Cancer; Fondation ARC pour la Recherche sur le Cancer; Agence Nationale de la Recherche","keywords":"Terminator (solar); Transcription (linguistics); RNA polymerase II; Biology; Termination factor; Transcription factor II D; RNA polymerase II holoenzyme; Polymerase; RNA Helicase A; RNA polymerase; Helicase; Gene; General transcription factor; RNA polymerase III; Antitermination; Genetics; Cell biology; RNA; Promoter; Physics; Gene expression","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001590722,0.000335337,0.000240469,0.0001938851,0.0002220752,0.0003700123,0.0001976771,0.0003009714,0.002012273],"category_scores_gemma":[0.0001667397,0.0002193345,0.0002383296,0.00009559205,0.0002729586,0.0001250813,0.0003111891,0.0004957797,0.001693553],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002621318,"about_ca_system_score_gemma":0.0001533476,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003381209,"about_ca_topic_score_gemma":0.000558592,"domain_scores_codex":[0.9998893,0.00001867218,0.00001230624,0.00003008927,0.00003079844,0.00001897853],"domain_scores_gemma":[0.9997018,0.00007244664,0.00008863083,0.00004154868,0.00002746603,0.00006805822],"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":[0.00007720602,0.000008541981,0.0002996405,0.00001788548,0.000002936519,0.000114717,0.000006361351,0.00007857703,0.9986613,0.00007500941,0.00003428732,0.0006235444],"study_design_scores_gemma":[0.000008685905,0.00003965157,0.005678845,0.000005519566,0.000005407906,0.0005417608,0.00001650142,0.001247763,0.9905358,0.00007314501,0.00184147,0.000005368923],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934894,0.0006499422,0.003867948,0.00007442629,0.00002190682,0.00001116075,0.000442781,0.0002164108,0.00122607],"genre_scores_gemma":[0.9962042,0.0001319499,0.0011314,0.00002788819,0.000004564411,0.000008240171,0.0004956827,0.00005527208,0.00194083],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002012273,"threshold_uncertainty_score":0.006731749,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01105726367491846,"score_gpt":0.2293482133406527,"score_spread":0.2182909496657342,"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."}}