{"id":"W2020818483","doi":"10.4161/rna.8.6.17410","title":"Role of pri-miRNA tertiary structure in miR-17~92 miRNA biogenesis","year":2011,"lang":"en","type":"article","venue":"RNA Biology","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":101,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Canadian Institutes of Health Research; Health Canada","keywords":"Drosha; Dicer; microRNA; Biology; Ribonuclease III; Biogenesis; Small RNA; Gene silencing; Gene expression; Computational biology; Cell biology; Genetics; RNA; Gene; RNA interference","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":[0.0001741352,0.0001854173,0.0002667122,0.00009412112,0.0002666329,0.0005522575,0.0001428201,0.0003893761,0.001066548],"category_scores_gemma":[0.0003515246,0.0001659796,0.00022638,0.00007009133,0.000350235,0.0003418004,0.0002993525,0.0004423772,0.0006093052],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002287386,"about_ca_system_score_gemma":0.0001908865,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007801329,"about_ca_topic_score_gemma":0.0001224572,"domain_scores_codex":[0.999841,0.00003727356,0.00001334977,0.00003832516,0.00004653089,0.00002361746],"domain_scores_gemma":[0.9997708,0.00005780487,0.0000646583,0.00003406928,0.00002674618,0.00004588997],"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":[0.0000775652,0.000007860756,0.0003233286,0.0000325984,0.00000322972,0.0001147449,0.00002768433,0.0001747042,0.9971679,0.0006429878,0.00002284446,0.001404494],"study_design_scores_gemma":[0.000009779687,0.0002031411,0.004274143,0.000008914202,0.00001236719,0.0007199526,0.00003703078,0.001533642,0.9898071,0.0004684617,0.002916153,0.000009269383],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9848984,0.0025116,0.009273605,0.0001340526,0.00003245896,0.00001703963,0.00007077237,0.00008791082,0.002974227],"genre_scores_gemma":[0.9950227,0.0003829904,0.003818926,0.0000440891,0.000007190699,0.000007295039,0.00008208391,0.00001486497,0.0006198779],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001066548,"threshold_uncertainty_score":0.003567934,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0079506226579388,"score_gpt":0.2234328283441765,"score_spread":0.2154822056862377,"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."}}