{"id":"W2980949872","doi":"10.1016/j.molcel.2019.09.017","title":"Alternative Splicing Regulatory Networks: Functions, Mechanisms, and Evolution","year":2019,"lang":"en","type":"review","venue":"Molecular Cell","topic":"RNA Research and Splicing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":819,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"Medical Research Council; Canadian Institutes of Health Research; Canada First Research Excellence Fund; European Research Council; Cancer Research UK; Wellcome Trust; Simons Foundation","keywords":"Biology; RNA splicing; Alternative splicing; Computational biology; Context (archaeology); Genetics; RNA-binding protein; RNA; Gene; splice; Exon","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001060962,0.0013843,0.001825205,0.002218731,0.0003566353,0.001721912,0.001728532,0.001694982,0.002347383],"category_scores_gemma":[0.0007710077,0.000428344,0.0004084833,0.003631591,0.001747437,0.002076524,0.001140597,0.0020976,0.002091006],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001345935,"about_ca_system_score_gemma":0.001398901,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00093004,"about_ca_topic_score_gemma":0.00151067,"domain_scores_codex":[0.9997291,0.00004057063,0.00003286898,0.0000733932,0.00009124154,0.00003275142],"domain_scores_gemma":[0.9995159,0.0002518043,0.00006726231,0.00001888426,0.00009959285,0.00004644121],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001030713,0.00003573003,0.0002199171,0.007660675,0.00006100816,0.0002007199,0.00005910888,0.0007460292,0.003465416,0.01645379,0.02400735,0.9469872],"study_design_scores_gemma":[0.00001476511,0.00004060374,0.0006030236,0.001819147,0.00008890952,0.00110132,0.00006820577,0.0001962951,0.000792964,0.01147088,0.9837795,0.00002427758],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00008315419,0.998096,0.000459308,0.000307441,0.0002190733,0.000002265832,0.00001485485,0.00001109113,0.0008067412],"genre_scores_gemma":[0.000562768,0.9981384,0.0003349766,0.0001913526,0.0002903414,0.000005458859,0.00003048243,0.000001575297,0.0004446237],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002347383,"threshold_uncertainty_score":0.009765446,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01526992463112024,"score_gpt":0.2718626628350002,"score_spread":0.25659273820388,"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."}}