{"id":"W2149748144","doi":"10.1261/rna.5207204","title":"Analysis of the requirement for RNA polymerase II CTD heptapeptide repeats in pre-mRNA splicing and 3′-end cleavage","year":2004,"lang":"en","type":"article","venue":"RNA","topic":"RNA Research and Splicing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":69,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Cancer Institute; Medical Research Council; Canadian Institutes of Health Research","keywords":"Biology; RNA splicing; CTD; Intron; Mature messenger RNA; RNA polymerase II; Precursor mRNA; Exon; Transcription (linguistics); Primary transcript; SR protein; Alternative splicing; Enhancer; Messenger RNA; Post-transcriptional modification; Genetics; Consensus sequence; RNA; Molecular biology; Gene; Promoter; Gene expression; Peptide sequence","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":[0.0002602946,0.0004150261,0.0003324084,0.0002038724,0.0001079354,0.0003105309,0.0003926941,0.0003462203,0.001067243],"category_scores_gemma":[0.0003167393,0.0002501677,0.0003504169,0.0001793384,0.0002211653,0.0002219076,0.000210916,0.00064572,0.0006117917],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003366828,"about_ca_system_score_gemma":0.0002451518,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007018537,"about_ca_topic_score_gemma":0.0007521491,"domain_scores_codex":[0.9997235,0.00005440701,0.00004541621,0.00005160987,0.00008591172,0.00003908966],"domain_scores_gemma":[0.999348,0.0002528597,0.0001574732,0.00006008138,0.00004449262,0.0001371262],"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":[0.0000486672,0.00001684939,0.00008884132,0.000007876503,0.000002255958,0.00002016521,0.000002377458,0.00004045494,0.9996124,0.00001230408,0.000003522439,0.0001443661],"study_design_scores_gemma":[0.00001425474,0.0002204299,0.004975355,0.000003057127,0.0000131391,0.000259484,0.00001335775,0.00147857,0.992453,0.00002169672,0.0005429811,0.00000473662],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996801,0.0007089534,0.001568186,0.00003614541,0.000009812181,0.00002436289,0.0003503302,0.00002965561,0.0004714725],"genre_scores_gemma":[0.9943342,0.000324613,0.00267286,0.00003787309,0.000008198571,0.00004287898,0.001487631,0.00004714421,0.001044525],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001067243,"threshold_uncertainty_score":0.003570318,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0129438644434116,"score_gpt":0.2865248963678771,"score_spread":0.2735810319244655,"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."}}