{"id":"W4392357210","doi":"10.1016/j.tcb.2024.02.002","title":"Metabolic regulation of mRNA splicing","year":2024,"lang":"en","type":"review","venue":"Trends in Cell Biology","topic":"RNA Research and Splicing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; University of Toronto; National Foundation for Cancer Research","keywords":"RNA splicing; Biology; Alternative splicing; Proteome; Messenger RNA; Precursor mRNA; Computational biology; Cell biology; Transcriptome; Splicing factor; Protein splicing; RNA; Genetics; Gene expression; 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":[0.0003365416,0.0002840364,0.0009420662,0.000569098,0.00001829208,0.000008705167,0.0003042072,0.0005603669,0.00006338701],"category_scores_gemma":[0.0000290443,0.0002145806,0.0003705166,0.0004728381,0.00009198265,0.000001412437,0.0002074913,0.0002971753,0.00003352996],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002030136,"about_ca_system_score_gemma":0.0001079138,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007306425,"about_ca_topic_score_gemma":0.00006037391,"domain_scores_codex":[0.9983157,0.0002047348,0.000545153,0.0005185938,0.00007204748,0.0003437989],"domain_scores_gemma":[0.9992641,0.00002756508,0.0001777296,0.0004484283,0.00002629828,0.00005589652],"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":[0.000008665786,0.00002505742,0.00001599592,0.001939807,0.00007862937,0.000003142636,0.000007039022,0.000002790833,0.03808838,0.0002241841,0.0005894717,0.9590169],"study_design_scores_gemma":[0.0001371643,0.0001363061,0.00001350818,0.0006545493,0.0001729194,0.000009021625,0.000003617017,0.00002090737,0.003995775,0.00004953272,0.9946015,0.0002051996],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001624912,0.9926693,0.00001592733,0.000008416941,0.0001867562,0.0001271743,0.00004662516,0.000008603438,0.00531225],"genre_scores_gemma":[0.002812509,0.9877315,0.0001482227,0.000008174768,0.0002333278,0.00003630585,0.0008807536,0.00004131076,0.008107889],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.994012,"threshold_uncertainty_score":0.8750342,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04568556463438457,"score_gpt":0.3755251933633065,"score_spread":0.3298396287289219,"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."}}