{"id":"W2105671894","doi":"10.1261/rna.051987.115","title":"Splicing promotes the nuclear export of <i>β-globin</i> mRNA by overcoming nuclear retention elements","year":2015,"lang":"en","type":"article","venue":"RNA","topic":"RNA modifications and cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Biology; RNA splicing; Nuclear export signal; Precursor mRNA; Globin; Messenger RNA; Cell nucleus; Cell biology; Computational biology; Genetics; Nucleus; RNA; Gene","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":[0.0002120409,0.00007266986,0.00007264368,0.00001053011,0.00006835132,0.00001811445,0.0001585154,0.00005379475,0.00002403611],"category_scores_gemma":[0.00002446296,0.00005687133,0.00005027846,0.00005027248,0.00004113785,0.000005453655,0.0000633236,0.00004730765,0.00001084831],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001702318,"about_ca_system_score_gemma":0.00002476215,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003548237,"about_ca_topic_score_gemma":0.000002085068,"domain_scores_codex":[0.9993941,0.0000261547,0.000174898,0.0001602167,0.000125167,0.0001195045],"domain_scores_gemma":[0.9994719,0.000002010197,0.000118612,0.0002987305,0.00006487434,0.00004384238],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000244949,0.00003334557,0.0004886708,0.000006880749,0.00002380493,2.299739e-7,0.00008389998,0.000004078673,0.974375,0.000225185,0.02197263,0.002761787],"study_design_scores_gemma":[0.000777025,0.0003519534,0.001494018,0.00004671629,0.00004981833,0.00000997712,0.0009063942,0.0004528885,0.490495,0.0002029563,0.5049573,0.000255927],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9936962,0.0003791912,0.00009149488,0.000203854,0.00006773535,0.0001293219,0.00001292242,0.000008211828,0.005411056],"genre_scores_gemma":[0.9987797,0.0001133808,0.0002878059,0.0001870384,0.00007007335,0.000005881761,0.00003205257,0.00001834085,0.0005057304],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.48388,"threshold_uncertainty_score":0.2319145,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01956118373961604,"score_gpt":0.2473580100792021,"score_spread":0.2277968263395861,"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."}}