{"id":"W2134586803","doi":"10.1002/bies.201200073","title":"Introns in UTRs: Why we should stop ignoring them","year":2012,"lang":"en","type":"article","venue":"BioEssays","topic":"RNA Research and Splicing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":133,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Howard Hughes Medical Institute","keywords":"Intron; Biology; Gene; Nonsense-mediated decay; Untranslated region; Genetics; Nonsense; Coding region; Three prime untranslated region; Computational biology; RNA splicing; RNA","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0003007282,0.0001071292,0.0000990213,0.00004529966,0.00005059426,0.00002069131,0.0001767877,0.0001168101,0.00006607079],"category_scores_gemma":[0.00007386087,0.00009197198,0.00004994993,0.00009569984,0.00004481283,0.000007596844,0.0001340005,0.0001272687,0.00004888886],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002241815,"about_ca_system_score_gemma":0.00003009552,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008674599,"about_ca_topic_score_gemma":0.00005867888,"domain_scores_codex":[0.999046,0.00005170872,0.0001230422,0.0001804224,0.0001259838,0.0004728488],"domain_scores_gemma":[0.9995463,0.00001373846,0.00002495463,0.0002592479,0.00002189502,0.000133824],"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":[0.0000445499,0.0001075145,0.06991486,0.00002015966,0.0000190635,0.000003770513,0.0001083913,0.000007456437,0.9152737,0.001053261,0.006581105,0.006866238],"study_design_scores_gemma":[0.001384862,0.0002280749,0.0211454,0.0000704673,0.00001280893,0.00002930072,0.001092959,0.0001586755,0.6712251,0.0002508019,0.3038347,0.0005668706],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9908456,0.001571071,0.0007104235,0.0007126022,0.0001329306,0.0001215664,0.000006769835,0.00001349324,0.005885503],"genre_scores_gemma":[0.9972652,0.0003816583,0.0003205946,0.0002205128,0.0004329578,0.00002423613,0.00002041963,0.00001713519,0.001317256],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2972535,"threshold_uncertainty_score":0.3750508,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06389001233344137,"score_gpt":0.3131598734637718,"score_spread":0.2492698611303304,"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."}}