{"id":"W2611211782","doi":"10.1016/j.tibs.2017.04.001","title":"The Relationship between Alternative Splicing and Proteomic Complexity","year":2017,"lang":"en","type":"letter","venue":"Trends in Biochemical Sciences","topic":"RNA Research and Splicing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":200,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computational biology; RNA splicing; Alternative splicing; Biology; Bioinformatics; Genetics; Gene; Exon; 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":[0.0007085882,0.0001828659,0.0001811163,0.00009650303,0.000678329,0.000216229,0.0008893087,0.0003461934,0.000004330035],"category_scores_gemma":[0.0006023468,0.0001201239,0.00006170188,0.0001315109,0.001975089,0.000006679891,0.000350187,0.0007705288,0.00000306212],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002801631,"about_ca_system_score_gemma":0.00005885037,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000304336,"about_ca_topic_score_gemma":0.00005355058,"domain_scores_codex":[0.9983232,0.0001122919,0.0002094142,0.0005574162,0.0003255503,0.0004721189],"domain_scores_gemma":[0.9991736,0.0002175317,0.0001508448,0.0003685767,0.00002548434,0.00006390807],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00005032082,0.00001899594,0.3293207,0.00005473123,0.00006074887,0.00003592305,0.00006328957,0.000001812833,0.112755,0.0003912019,0.544255,0.01299227],"study_design_scores_gemma":[0.001441865,0.0008116792,0.6750415,0.0005031631,0.00004637946,0.0000551759,0.0000716108,0.0003810392,0.1180421,0.01449019,0.1874643,0.001651018],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8817832,0.0003923053,0.00001084207,0.115986,0.00005480685,0.0001235921,0.0000249143,0.000005386678,0.001618849],"genre_scores_gemma":[0.9887739,0.00006241765,0.0003068455,0.004560906,0.001673232,0.0000366236,0.0001618924,0.00001373403,0.00441042],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3567907,"threshold_uncertainty_score":0.7277298,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.140654012496897,"score_gpt":0.39201328120956,"score_spread":0.2513592687126631,"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."}}