{"id":"W2762992799","doi":"10.1101/gad.301093.117","title":"Two distinct transcription termination modes dictated by promoters","year":2017,"lang":"en","type":"article","venue":"Genes & Development","topic":"RNA Research and Splicing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of British Columbia; Office of Research Infrastructure Programs, National Institutes of Health; National Institute for Health and Care Research; Friedrich Miescher Institute for Biomedical Research; National Research Foundation; Universität Basel; Albert-Ludwigs-Universität Freiburg; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Novartis Foundation; National Institutes of Health; National Science Foundation","keywords":"Biology; RNA polymerase II; Promoter; Polyadenylation; Genetics; Termination factor; Gene; Transcription (linguistics); Exoribonuclease; Cell biology; RNA polymerase; RNA; Gene expression; RNase P","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000532294,0.0004645249,0.0003973233,0.000303043,0.0002185023,0.0008510809,0.0003510498,0.0005107937,0.0007640582],"category_scores_gemma":[0.0006706304,0.0003988662,0.0004105684,0.0001109285,0.000500452,0.0004621221,0.000538657,0.0007664316,0.0005962632],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003408242,"about_ca_system_score_gemma":0.0002657127,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002629203,"about_ca_topic_score_gemma":0.0004503068,"domain_scores_codex":[0.9993176,0.00005833404,0.00005385056,0.0002986377,0.000156567,0.000115033],"domain_scores_gemma":[0.9994076,0.0001112545,0.0001420382,0.0001136181,0.0001212225,0.0001043083],"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":[0.0001764606,0.00001424896,0.002460323,0.00003623923,0.000003961532,0.00009211546,0.00007606461,0.0001180686,0.9929055,0.0009889079,0.00005477919,0.003073312],"study_design_scores_gemma":[0.00003776036,0.0002186648,0.01914291,0.00002965227,0.0000217205,0.0007467409,0.00009757326,0.003298032,0.9715276,0.00092633,0.003916729,0.00003626561],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9548877,0.001810653,0.03783256,0.0001249692,0.00007881229,0.00007471233,0.000596774,0.0004199062,0.004174094],"genre_scores_gemma":[0.9742443,0.0006227748,0.01968017,0.0001016194,0.0000265945,0.0001187636,0.00101006,0.0001245996,0.004071067],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008510809,"threshold_uncertainty_score":0.002815127,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01568626098392849,"score_gpt":0.286400583903856,"score_spread":0.2707143229199275,"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."}}