{"id":"W2996619543","doi":"10.1016/j.molcel.2019.11.017","title":"Splicing Kinetics and Coordination Revealed by Direct Nascent RNA Sequencing through Nanopores","year":2019,"lang":"en","type":"article","venue":"Molecular Cell","topic":"RNA Research and Splicing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":258,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Institute of General Medical Sciences; National Human Genome Research Institute; Fonds de Recherche du Québec - Santé; National Institutes of Health","keywords":"Intron; RNA splicing; Biology; RNA; Genetics; Exonic splicing enhancer; Splicing factor; Transcription (linguistics); Exon; Alternative splicing; Spliceosome; Post-transcriptional modification; Gene; Cell biology","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":[],"consensus_categories":[],"category_scores_codex":[0.0001641996,0.0001670341,0.0001602595,0.00003199265,0.00006134874,0.0000479033,0.0001371577,0.0001194176,0.00001452908],"category_scores_gemma":[0.00004442534,0.0001638544,0.00006141027,0.00009009994,0.00004234716,0.000006564357,0.0001265996,0.0001050134,0.00001679739],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003937008,"about_ca_system_score_gemma":0.00003694306,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001021469,"about_ca_topic_score_gemma":0.000006924791,"domain_scores_codex":[0.9987915,0.00007601205,0.0001750848,0.000410339,0.000210773,0.0003363101],"domain_scores_gemma":[0.9994329,0.00001172206,0.00006921069,0.0003239308,0.00007097256,0.00009124718],"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":[0.00002312057,0.00002412713,0.001268279,0.00005873346,0.00001949279,0.00001104414,0.00003830303,0.00007346178,0.9956781,0.00002258891,0.002221784,0.0005609885],"study_design_scores_gemma":[0.0005735461,0.0002849307,0.0001431765,0.00002888583,0.00001131523,0.000005896451,0.00006990522,0.0003539586,0.9799539,0.0000281971,0.01834027,0.0002059737],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.98229,0.002764863,0.001594554,0.0001467308,0.00007365763,0.000298316,0.000007996819,0.00001506011,0.0128088],"genre_scores_gemma":[0.9906501,0.0002883479,0.0007967755,0.0003500702,0.00004692594,0.000009891261,0.0000938932,0.00003465405,0.007729409],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01611849,"threshold_uncertainty_score":0.668179,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006385463928448113,"score_gpt":0.2343016031182775,"score_spread":0.2279161391898294,"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."}}