{"id":"W2103201556","doi":"10.1093/nar/gkp207","title":"Cotranscriptional recruitment of the nuclear poly(A)-binding protein Pab2 to nascent transcripts and association with translating mRNPs","year":2009,"lang":"en","type":"article","venue":"Nucleic Acids Research","topic":"RNA Research and Splicing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Biology; Ribonucleoprotein; Polyadenylation; Messenger RNP; Messenger RNA; Polysome; Immunoprecipitation; Molecular biology; Nuclear protein; Cell biology; RNA-binding protein; Heterogeneous nuclear ribonucleoprotein; Chromatin immunoprecipitation; Transcription (linguistics); Transcription factor; Ribosome; Gene; Genetics; RNA; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001396527,0.0002554566,0.0002222705,0.0001740071,0.0002258384,0.0004382189,0.0001730719,0.000151845,0.001238847],"category_scores_gemma":[0.0001749913,0.0001969804,0.0002341622,0.000211706,0.0003039977,0.0001897304,0.0003997737,0.0005116879,0.0004466999],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003474945,"about_ca_system_score_gemma":0.0002675226,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009695275,"about_ca_topic_score_gemma":0.002189974,"domain_scores_codex":[0.9998023,0.00001480198,0.00001337617,0.00008031444,0.00005491803,0.00003430598],"domain_scores_gemma":[0.9998633,0.00003188366,0.00002426328,0.0000230945,0.0000151224,0.00004223814],"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":[0.00005800557,0.00001693,0.0003217313,0.00002726918,0.000003082705,0.00005170736,0.00001689223,0.00002931114,0.9983896,0.0001250925,0.00005416157,0.000906321],"study_design_scores_gemma":[0.00001446815,0.0001025981,0.01228338,0.000004693949,0.000008397866,0.000288943,0.00003594087,0.001461366,0.9807438,0.00007733817,0.004972063,0.00000692704],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9845313,0.003149642,0.008823122,0.0001549588,0.0001014936,0.0000342565,0.000809903,0.0001931381,0.002202198],"genre_scores_gemma":[0.9851002,0.001215916,0.006193659,0.00009954126,0.00003962832,0.00004702377,0.002008164,0.00007252279,0.005223332],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001238847,"threshold_uncertainty_score":0.004144371,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04973717296078315,"score_gpt":0.3265693691084783,"score_spread":0.2768321961476951,"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."}}