{"id":"W4362562485","doi":"10.1093/nargab/lqad031","title":"Known sequence features explain half of all human gene ends","year":2022,"lang":"en","type":"article","venue":"NAR Genomics and Bioinformatics","topic":"RNA Research and Splicing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Occupational Cancer Research Centre; University of Toronto","funders":"Canadian Institutes of Health Research; University of Toronto","keywords":"Polyadenylation; Gene; Biology; Genetics; Coding region; Computational biology; Sequence (biology); Primary transcript; Context (archaeology); RNA; Messenger RNA; Alternative splicing","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":[0.0003086326,0.0001083802,0.0001299612,0.000064369,0.0002159251,0.00002654307,0.0002205414,0.00006063054,0.00002002705],"category_scores_gemma":[0.00001733163,0.0001015091,0.00005668381,0.00006338835,0.00007351683,0.000005333718,0.0003777274,0.0001316187,0.000001295938],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002646016,"about_ca_system_score_gemma":0.00007171374,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006183576,"about_ca_topic_score_gemma":0.0000164512,"domain_scores_codex":[0.9992054,0.00002641445,0.0002509595,0.0001229194,0.0001636458,0.0002307383],"domain_scores_gemma":[0.9995179,0.000007778409,0.0001090108,0.0002371914,0.00004115672,0.00008691924],"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":[0.00003818433,0.00002605935,0.0001373269,0.00004345999,0.00004184022,0.000004042631,0.0003483881,0.0001316828,0.9913236,0.0003374384,0.001834989,0.005733017],"study_design_scores_gemma":[0.001514517,0.002007969,0.0006181187,0.00001332733,0.00003473734,0.0003785792,0.002675666,0.007453121,0.7056831,0.0002420634,0.2787909,0.0005879198],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974541,0.0007230897,0.0001970455,0.0001520417,0.00004229538,0.0001347822,0.0001160084,0.000005493042,0.001175119],"genre_scores_gemma":[0.9923308,0.0004709035,0.005119083,0.0003223826,0.00008258912,0.00001500169,0.0003559701,0.00001393563,0.001289283],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2856405,"threshold_uncertainty_score":0.4139419,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02065026306047327,"score_gpt":0.2755685505550601,"score_spread":0.2549182874945868,"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."}}