{"id":"W4389669663","doi":"10.1080/15476286.2023.2293339","title":"mRNA nuclear export: how mRNA identity features distinguish functional RNAs from junk transcripts","year":2023,"lang":"en","type":"review","venue":"RNA Biology","topic":"RNA Research and Splicing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Biology; Nucleoplasm; Messenger RNA; Small nucleolar RNA; Cell biology; RNA; Cytoplasm; Long non-coding RNA; Genetics; microRNA; Computational biology; Gene; Nucleolus","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003880755,0.0005929371,0.001237336,0.0001804056,0.0002594452,0.0001314477,0.0008329814,0.001145666,0.0001492064],"category_scores_gemma":[0.000573707,0.0004960622,0.000864794,0.0002765864,0.0002579984,0.00001075236,0.0003597182,0.0007388861,0.0002300633],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006639005,"about_ca_system_score_gemma":0.0002918004,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003052595,"about_ca_topic_score_gemma":0.0003381497,"domain_scores_codex":[0.9969108,0.0003692208,0.0005196682,0.001144873,0.0002710465,0.0007844002],"domain_scores_gemma":[0.9984131,0.00009094568,0.0003335092,0.0007504643,0.0001310943,0.0002808566],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001945844,0.0001955561,0.000168381,0.004029984,0.002877868,0.0002798158,0.00004599707,7.778169e-7,0.1417431,0.001661618,0.1214626,0.7273397],"study_design_scores_gemma":[0.0003104126,0.0002029995,0.0002735547,0.0007282234,0.0002173081,0.00004962008,0.00002459012,0.000001857195,0.0002613914,0.0001944058,0.9972165,0.0005191598],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.003130623,0.9925386,0.000211666,0.0001700087,0.001690347,0.0005111463,0.0008514707,0.00009320457,0.0008029207],"genre_scores_gemma":[0.001031369,0.9818638,0.0001204688,0.0001369675,0.002848485,0.00007930844,0.005402078,0.0001453619,0.008372162],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.8757539,"threshold_uncertainty_score":0.9997491,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06441401331917833,"score_gpt":0.3365290006138833,"score_spread":0.272114987294705,"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."}}