{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000864766,0.0001719822,0.0002002992,0.0001075701,0.00002254179,0.000002764923,0.0002531697,0.0003554458,0.0002105782],"category_scores_gemma":[0.00003604135,0.0001571406,0.00009510037,0.0001113315,0.0001320734,0.0000035866,0.0001224759,0.00006438991,0.000007230543],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001682905,"about_ca_system_score_gemma":0.00005975426,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001606105,"about_ca_topic_score_gemma":0.0001729617,"domain_scores_codex":[0.9989133,0.0001024334,0.0003088197,0.0003617718,0.00004978247,0.000263894],"domain_scores_gemma":[0.9993173,0.000007463876,0.0001495725,0.0003997999,0.00005865775,0.00006719892],"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":[0.0001035622,0.00006430897,0.07009552,0.00001506263,0.0000486988,0.000001325055,0.00007566723,0.00000315196,0.9267055,0.0001106873,0.0002071371,0.002569345],"study_design_scores_gemma":[0.000337438,0.0001037464,0.2330652,0.000009324381,0.0000153704,0.000009336095,0.00002843568,0.0000134709,0.7613216,0.0008841907,0.004062133,0.0001498188],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958709,0.002928406,0.00007268053,0.00002995212,0.00009358406,0.0001896966,0.0001215123,0.00001034037,0.0006828912],"genre_scores_gemma":[0.9980373,0.00009511978,0.001293595,0.0001047293,0.00009449482,0.000008229802,0.0002859624,0.00002069646,0.00005983296],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.165384,"threshold_uncertainty_score":0.6408007,"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."}}