{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000745599,0.001404699,0.00154927,0.001511956,0.0002894248,0.001656887,0.001031986,0.001464837,0.003478988],"category_scores_gemma":[0.0006471197,0.0004253133,0.000426713,0.002359,0.0008572731,0.001591036,0.001249033,0.002221062,0.003300455],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001042867,"about_ca_system_score_gemma":0.001089313,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007433975,"about_ca_topic_score_gemma":0.001236978,"domain_scores_codex":[0.9997997,0.00003097739,0.00002359535,0.00005227603,0.00006503717,0.00002844888],"domain_scores_gemma":[0.9997895,0.00008734884,0.00003354443,0.00001147659,0.00005260667,0.00002564348],"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":[0.0001514427,0.00004893807,0.0001038855,0.01019924,0.0000794338,0.0002043856,0.00003394376,0.0006783355,0.006100079,0.01328184,0.03886971,0.9302487],"study_design_scores_gemma":[0.00002568299,0.00006141694,0.0004867867,0.001698328,0.00008448092,0.0005166404,0.00003695537,0.0002076975,0.001684655,0.006739601,0.9884341,0.00002369709],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00009065272,0.9968635,0.0004470499,0.0003667544,0.0006015087,0.000003915287,0.00002250419,0.00001250214,0.001591711],"genre_scores_gemma":[0.0006777392,0.997303,0.000291218,0.0002693835,0.0004192845,0.00000781659,0.00004564034,0.000002702996,0.0009831199],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003478988,"threshold_uncertainty_score":0.01163834,"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."}}