{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006101636,0.0002460437,0.0004733476,0.000376025,0.0005223604,0.001565945,0.0004590562,0.0004001092,0.001499411],"category_scores_gemma":[0.001095592,0.00058206,0.0002997189,0.0002424216,0.0004597832,0.0007985797,0.0005509692,0.001011071,0.0009339676],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000508074,"about_ca_system_score_gemma":0.0004042119,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004439942,"about_ca_topic_score_gemma":0.001319028,"domain_scores_codex":[0.9994276,0.00007034009,0.00006739209,0.0002111011,0.0001414739,0.00008207412],"domain_scores_gemma":[0.9981116,0.0005317717,0.0004184622,0.0004203637,0.000262113,0.0002556415],"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":[0.0001168836,0.00001494992,0.000820784,0.00001267903,0.000004427499,0.00003198306,0.00002860165,0.0001449807,0.9960818,0.0007127876,0.00002672723,0.00200359],"study_design_scores_gemma":[0.00001873394,0.0001901995,0.01189026,0.00000931418,0.00001830351,0.0002272716,0.0000487828,0.003194506,0.9825852,0.0005926054,0.001208012,0.00001688498],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9918404,0.0003375128,0.006266621,0.00004749851,0.00001887537,0.000009200001,0.0001002187,0.0001623332,0.001217331],"genre_scores_gemma":[0.995057,0.0001092672,0.003252919,0.00003332835,0.00001691353,0.000008092736,0.0002711311,0.0001353636,0.001115957],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001565945,"threshold_uncertainty_score":0.005016029,"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."}}