{"id":"W2554777987","doi":"10.1038/nsmb.3317","title":"The ribosome-engaged landscape of alternative splicing","year":2016,"lang":"en","type":"article","venue":"Nature Structural & Molecular Biology","topic":"RNA and protein synthesis mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":166,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"Biotechnology and Biological Sciences Research Council","keywords":"Ribosome profiling; Alternative splicing; Biology; RNA splicing; Translation (biology); splice; Ribosome; Computational biology; Exon; RNA; Genetics; Messenger RNA; Cell biology; Gene","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":[0.0004240317,0.0002206673,0.0002159766,0.00004303101,0.0002387373,0.00001233902,0.0004947084,0.0004865872,0.00003170516],"category_scores_gemma":[0.0007099236,0.0001110469,0.0001640038,0.00008650359,0.0002002653,0.000003638297,0.0001622479,0.0003502508,0.000004566763],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001005333,"about_ca_system_score_gemma":0.00003888315,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009227595,"about_ca_topic_score_gemma":0.00001057787,"domain_scores_codex":[0.9983082,0.0005686377,0.0002504436,0.0004042154,0.0001258406,0.0003427046],"domain_scores_gemma":[0.9989943,0.0001247984,0.0001905409,0.0004911769,0.0001360962,0.00006307761],"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":[0.000122291,0.000002898559,0.0004147183,0.000004324619,0.0001057919,0.000003298186,0.00001744167,0.000002071454,0.9686155,0.01141635,0.0001124791,0.0191828],"study_design_scores_gemma":[0.000474344,0.0002574549,0.0007040347,0.0000165033,0.00001649756,0.00002641071,0.00003288606,0.000005351112,0.9798308,0.01049113,0.007967506,0.0001770847],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9889546,0.003723488,0.004819201,0.001100136,0.0005475545,0.0002512655,0.00005065761,0.00001400906,0.0005390896],"genre_scores_gemma":[0.9979832,0.000199685,0.0009801817,0.0003128521,0.0002311267,0.0000178134,0.00003180539,0.00002416325,0.0002191787],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01900571,"threshold_uncertainty_score":0.4528362,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004946709157243059,"score_gpt":0.2679642199155783,"score_spread":0.2630175107583353,"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."}}