{"id":"W2102873939","doi":"10.1101/gad.1606907","title":"Global analysis of alternative splicing differences between humans and chimpanzees","year":2007,"lang":"en","type":"article","venue":"Genes & Development","topic":"RNA Research and Splicing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":158,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Hospital for Sick Children; National Center for Research Resources; Ontario Genomics Institute; National Science Foundation; Canadian Institutes of Health Research; National Institutes of Health; Ontario Genomics; Genome Canada; National Cancer Institute; Emory University; Camille and Henry Dreyfus Foundation; Yerkes National Primate Research Center, Emory University; James S. McDonnell Foundation","keywords":"Biology; Alternative splicing; RNA splicing; Gene; Genetics; Exon; DNA microarray; Proteomics; Gene expression profiling; In silico; Gene expression; Computational biology; RNA","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002896741,0.0001034409,0.0001918408,0.00007793544,0.0000787852,0.00001426154,0.0001330503,0.00005046188,0.000006930829],"category_scores_gemma":[0.00001390282,0.00008747738,0.00004810183,0.0002265686,0.00005497377,0.000002235801,0.0001389704,0.00002648001,7.406397e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001861382,"about_ca_system_score_gemma":0.00005672701,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001415021,"about_ca_topic_score_gemma":0.0008798778,"domain_scores_codex":[0.9991043,0.00001897351,0.0002230517,0.000232161,0.0001790795,0.0002424908],"domain_scores_gemma":[0.9996439,0.00001416816,0.00006775902,0.0001228112,0.00005765068,0.00009372248],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001732665,0.00001491737,0.8827544,0.000008359925,0.0008736646,0.000001576519,0.0001365968,0.00002012936,0.06720173,0.00004398546,0.000007767794,0.04891948],"study_design_scores_gemma":[0.000124051,0.00005075167,0.8766643,0.000006889501,0.00007299079,5.679652e-7,0.00011477,0.00002294098,0.1223824,0.0000179813,0.0004478357,0.00009445797],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9901564,0.0007202486,0.008739533,0.00001528209,0.00001994204,0.00007097244,0.00001113357,0.000003925856,0.0002626278],"genre_scores_gemma":[0.9976386,0.0001802969,0.00191288,0.00002254155,0.00005576584,0.000003282472,0.00005399901,0.000004186393,0.0001283827],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0551807,"threshold_uncertainty_score":0.3567224,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02093097388568573,"score_gpt":0.306533245972809,"score_spread":0.2856022720871233,"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."}}