{"id":"W2942544581","doi":"10.1016/j.celrep.2019.04.008","title":"Nuclear eIF4E Stimulates 3′-End Cleavage of Target RNAs","year":2019,"lang":"uk","type":"article","venue":"Cell Reports","topic":"RNA Research and Splicing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Institute for Research in Immunology and Cancer","funders":"National Cancer Institute; Canadian Institutes of Health Research; National Institutes of Health","keywords":"EIF4E; Cleavage and polyadenylation specificity factor; Cleavage stimulation factor; Polyadenylation; Cleavage (geology); EIF4A1; Nuclear export signal; Cleavage factor; Translation (biology); Messenger RNA; RNA; Cell biology; Eukaryotic translation; Biology; Eukaryotic translation initiation factor 4 gamma; Eukaryotic initiation factor; Cell nucleus; Genetics; Gene; Cytoplasm","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":[0.0002371095,0.0003031945,0.0001940377,0.0001916349,0.0001149249,0.0001834976,0.0001035836,0.0001673388,0.00183061],"category_scores_gemma":[0.0001999839,0.0001071387,0.000337692,0.00009388143,0.0001681675,0.0001104011,0.0002532428,0.0003698527,0.0005713914],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002178425,"about_ca_system_score_gemma":0.000159087,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00031024,"about_ca_topic_score_gemma":0.0006028116,"domain_scores_codex":[0.999864,0.00003366846,0.00001134686,0.00002339484,0.00003734174,0.00003034767],"domain_scores_gemma":[0.999868,0.00005851113,0.00001663733,0.00001715946,0.00001325362,0.00002630995],"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":[0.0001086887,0.00002382046,0.0001345236,0.00003585974,0.000003226963,0.00004836751,0.00001032445,0.00004197768,0.9978238,0.00009021379,0.00005721828,0.001621907],"study_design_scores_gemma":[0.00001505843,0.0001478165,0.003480069,0.000005259777,0.000003872724,0.0001533056,0.00001580011,0.0003540224,0.9934588,0.00007278605,0.002290829,0.000002382415],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9828625,0.002537544,0.006302229,0.0002493418,0.0001329059,0.00003967073,0.0004368467,0.0001594357,0.007279587],"genre_scores_gemma":[0.987022,0.0009837772,0.004671062,0.0001140733,0.00002972235,0.00002733074,0.0006995787,0.00004700398,0.006405449],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00183061,"threshold_uncertainty_score":0.00612402,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006246391167616607,"score_gpt":0.2358863292522976,"score_spread":0.229639938084681,"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."}}