{"id":"W4384198200","doi":"10.1038/s41594-023-01035-2","title":"Pre-mRNA splicing order is predetermined and maintains splicing fidelity across multi-intronic transcripts","year":2023,"lang":"en","type":"article","venue":"Nature Structural & Molecular Biology","topic":"RNA Research and Splicing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":29,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Institute of General Medical Sciences; National Human Genome Research Institute; Canadian Institutes of Health Research; Intellectual and Developmental Disabilities Research Center; Tsinghua University; Eunice Kennedy Shriver National Institute of Child Health and Human Development; Helsingin Yliopisto; National Institutes of Health; Harvard University","keywords":"Intron; RNA splicing; Spliceosome; Exon; Exonic splicing enhancer; Biology; Minor spliceosome; Splicing factor; Gene; Genetics; Group II intron; Group I catalytic intron; Minigene; Small nuclear RNA; Alternative splicing; RNA; Non-coding RNA","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003554169,0.0004258326,0.0003987244,0.0001104247,0.0003314048,0.00007518203,0.0004396845,0.0008983457,0.00002016746],"category_scores_gemma":[0.0003164402,0.0003625109,0.0001867444,0.0003862997,0.0002745624,0.0000127153,0.0003890333,0.0007915382,0.000006937458],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004429927,"about_ca_system_score_gemma":0.0000967072,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002262095,"about_ca_topic_score_gemma":0.000270173,"domain_scores_codex":[0.9970371,0.0001852674,0.0003866472,0.001029496,0.0002019549,0.001159593],"domain_scores_gemma":[0.9988166,0.00002591458,0.0001102946,0.0006099459,0.000193058,0.0002441844],"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":[0.0001767238,0.000007377062,0.004095433,0.00005056215,0.0001294428,0.00003298146,0.0001688832,0.00007051125,0.9886568,0.0002241985,0.0002086455,0.006178497],"study_design_scores_gemma":[0.003653597,0.0008929588,0.07699972,0.00006153791,0.00006177252,0.0002587778,0.0003211894,0.01226482,0.8990465,0.001036802,0.004331127,0.001071227],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9926941,0.001917706,0.003487904,0.0008314438,0.0002635941,0.00053516,0.0001603631,0.00007979327,0.00002987699],"genre_scores_gemma":[0.9954906,0.0002112711,0.001375152,0.001514549,0.0002013054,0.0000337247,0.0004322095,0.00005741051,0.0006837518],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08961027,"threshold_uncertainty_score":0.9998827,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00872796328517601,"score_gpt":0.3517733774958164,"score_spread":0.3430454142106404,"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."}}