{"id":"W2001952613","doi":"10.1016/j.cell.2006.06.023","title":"Alternative Splicing: New Insights from Global Analyses","year":2006,"lang":"en","type":"review","venue":"Cell","topic":"RNA Research and Splicing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1124,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Biology; Computational biology; Alternative splicing; Genetics; RNA splicing; Evolutionary biology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003704475,0.002664235,0.00592725,0.003222904,0.0005629443,0.002791113,0.00329861,0.003097725,0.001683783],"category_scores_gemma":[0.002234338,0.001236437,0.001080512,0.004283588,0.00362269,0.006007706,0.002076045,0.006034286,0.002269522],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001799179,"about_ca_system_score_gemma":0.001525984,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009700214,"about_ca_topic_score_gemma":0.001425006,"domain_scores_codex":[0.9992157,0.0001108168,0.0000882922,0.0002387173,0.0002826962,0.00006383536],"domain_scores_gemma":[0.9981424,0.00104703,0.0001029406,0.0001482566,0.000439823,0.0001196225],"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":[0.0002029517,0.00007973576,0.000310651,0.008764499,0.0002102449,0.0003422787,0.0001109073,0.001582109,0.009474135,0.02005689,0.03913414,0.9197315],"study_design_scores_gemma":[0.00005786109,0.000110298,0.000858399,0.001634047,0.0002916037,0.002515737,0.0001287516,0.0008740718,0.004843903,0.03882755,0.9497581,0.00009963007],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001307136,0.9932712,0.004450167,0.0006452566,0.0005487747,0.000005913535,0.00002990657,0.00004481171,0.0008733023],"genre_scores_gemma":[0.0008027105,0.9948495,0.002515942,0.0005370986,0.0007104381,0.00001260975,0.00005826711,0.00001076618,0.0005025783],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.00592725,"threshold_uncertainty_score":0.01959139,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06668410106310814,"score_gpt":0.3846634918197805,"score_spread":0.3179793907566724,"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."}}