{"id":"W2897043556","doi":"10.1038/s41467-018-06546-x","title":"Common mechanism of transcription termination at coding and noncoding RNA genes in fission yeast","year":2018,"lang":"en","type":"article","venue":"Nature Communications","topic":"RNA Research and Splicing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"National Institute of General Medical Sciences; McGill University; Génome Québec; Fonds de Recherche du Québec - Santé; Compute Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Polyadenylation; Biology; Small nucleolar RNA; RNA polymerase II; Termination factor; Transcription (linguistics); Gene; Genetics; Non-coding RNA; Cleavage and polyadenylation specificity factor; RNA; Cell biology; Gene expression; Promoter","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000212037,0.00005551177,0.0000730905,0.00007112497,0.0001480251,0.000009091518,0.0002312355,0.000159922,0.000003830931],"category_scores_gemma":[0.00005103275,0.00005404515,0.00002221183,0.00009108051,0.00009143398,0.000006965864,0.0001785422,0.0001581227,9.104893e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002174292,"about_ca_system_score_gemma":0.00001571599,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002937556,"about_ca_topic_score_gemma":0.001442599,"domain_scores_codex":[0.9995131,0.00007988239,0.0001278153,0.0001097322,0.00007642854,0.00009297467],"domain_scores_gemma":[0.9994079,0.00001829053,0.00004974206,0.0004160519,0.00007588234,0.00003205648],"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":[0.00002309959,0.00002342742,0.002019923,0.000009480388,0.000004435559,1.497491e-7,0.00009356505,4.622033e-7,0.9901335,0.001593267,0.00008979927,0.00600886],"study_design_scores_gemma":[0.0003868306,0.0001282181,0.01438695,0.00007184845,0.00000677289,0.000007056796,0.0001194069,0.003299912,0.9766383,0.000160742,0.004703523,0.000090405],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959319,0.0018917,0.0002852691,0.0005482947,0.00003587146,0.0001171217,0.00001057856,0.000004911623,0.001174402],"genre_scores_gemma":[0.9965501,0.001701127,0.001358035,0.00005025398,0.00003265766,0.000008813686,0.00008901292,0.000006828413,0.000203102],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0134952,"threshold_uncertainty_score":0.2203897,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02239935350112858,"score_gpt":0.3257300564637632,"score_spread":0.3033307029626346,"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."}}