{"id":"W2149363913","doi":"10.1101/gr.113431.110","title":"Extensive relationship between antisense transcription and alternative splicing in the human genome","year":2011,"lang":"en","type":"article","venue":"Genome Research","topic":"RNA Research and Splicing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":84,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Cancer Agency","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; National Cancer Institute; BC Cancer Foundation; University of British Columbia; Terry Fox Foundation; Genome British Columbia; Michael Smith Health Research BC","keywords":"Biology; RNA splicing; Exon; Alternative splicing; Genetics; Gene; Transcription (linguistics); Exonic splicing enhancer; Human genome; Sense (electronics); Antisense RNA; Genome; Gene expression; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005534094,0.0001193281,0.0002460123,0.0004639419,0.0001543099,0.0003405954,0.0001106893,0.0001809912,0.0006519694],"category_scores_gemma":[0.001756296,0.0001794243,0.0002773717,0.0005871206,0.0003079121,0.0001933558,0.0002070304,0.0002313271,0.00008034464],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001823223,"about_ca_system_score_gemma":0.0001863586,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008091492,"about_ca_topic_score_gemma":0.00174897,"domain_scores_codex":[0.9996264,0.00009994765,0.000022356,0.0001524473,0.00007819101,0.00002061248],"domain_scores_gemma":[0.9987748,0.0008847016,0.0002128621,0.00005479466,0.00004315801,0.00002967831],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005637829,0.00007209321,0.6814989,0.0002133081,0.0004840511,0.001466693,0.0003393177,0.02802898,0.2303626,0.007227902,0.0001797626,0.0495626],"study_design_scores_gemma":[0.00005847497,0.0003135636,0.8000544,0.00002944089,0.0002997625,0.003289864,0.0001896451,0.1291952,0.03912295,0.02397955,0.003418484,0.00004877034],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.985371,0.0006323835,0.01330463,0.00005516597,0.000002794362,0.000005385231,0.00009953501,0.00003908206,0.0004899734],"genre_scores_gemma":[0.996151,0.0001890176,0.003401312,0.00002204642,0.000007709922,0.000005043364,0.0001167066,0.000005550421,0.0001016129],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008091492,"threshold_uncertainty_score":0.002926767,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2029812801022953,"score_gpt":0.3895779670999104,"score_spread":0.1865966869976151,"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."}}