{"id":"W2954333568","doi":"10.1016/j.molcel.2019.05.033","title":"Oncogenic Biogenesis of pri-miR-17∼92 Reveals Hierarchy and Competition among Polycistronic MicroRNAs","year":2019,"lang":"en","type":"article","venue":"Molecular Cell","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":44,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; McGill University Health Centre","funders":"Fonds de Recherche du Québec - Santé; Canadian Institutes of Health Research; Terry Fox Research Institute; Canada Foundation for Innovation","keywords":"Biology; microRNA; Biogenesis; Hierarchy; Competition (biology); Messenger RNA; Cell biology; Genetics; Computational biology; Gene; Ecology","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":[0.0002614342,0.0002081556,0.0003180371,0.0002744309,0.0002630996,0.0009986878,0.0002324061,0.0002800889,0.001433083],"category_scores_gemma":[0.0003993851,0.00033424,0.0002194331,0.000186384,0.0002359501,0.0004223355,0.000395398,0.0004881479,0.000881161],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004750986,"about_ca_system_score_gemma":0.0002619385,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003239833,"about_ca_topic_score_gemma":0.0005369915,"domain_scores_codex":[0.9996414,0.00003616513,0.00001973926,0.0001136025,0.0001174077,0.00007163256],"domain_scores_gemma":[0.9996845,0.00008959266,0.00006080949,0.00004383788,0.00005143323,0.00006983914],"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":[0.0001249914,0.000007191268,0.0009338355,0.0000101927,0.000003834491,0.000054657,0.00001156106,0.00009238594,0.9966552,0.0007357288,0.0000331143,0.001337241],"study_design_scores_gemma":[0.0000150272,0.00009687991,0.0134423,0.00000329975,0.0000176713,0.0004848444,0.00005368469,0.007569686,0.9756177,0.0005912328,0.002097796,0.000009952465],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99326,0.0005640704,0.003798951,0.00005115311,0.00001410985,0.000006714584,0.0001314711,0.00006746637,0.002106048],"genre_scores_gemma":[0.9971137,0.00008045331,0.001680273,0.00002945279,0.00000366422,0.000005956566,0.0002234631,0.00003702587,0.0008260006],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001433083,"threshold_uncertainty_score":0.004794121,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003431289745933725,"score_gpt":0.1995933754955672,"score_spread":0.1961620857496335,"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."}}