{"id":"W2140681541","doi":"10.1210/en.2011-1147","title":"Micro-RNA378 (miR-378) Regulates Ovarian Estradiol Production by Targeting Aromatase","year":2011,"lang":"en","type":"article","venue":"Endocrinology","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":195,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences Centre; University of Toronto; Sunnybrook Health Science Centre; University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; China Scholarship Council; Ministry of Agriculture, Food and Rural Affairs; Sichuan Agricultural University; Ontario Ministry of Agriculture, Food and Rural Affairs","keywords":"Aromatase; Untranslated region; Internal medicine; Endocrinology; Follicular phase; Biology; Estrogen; microRNA; Three prime untranslated region; Messenger RNA; Ovary; Gene; Medicine; Genetics","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":[0.00007233659,0.0002302273,0.0001746321,0.0001300987,0.0001556389,0.0002145376,0.0001436744,0.0001678876,0.00095599],"category_scores_gemma":[0.0001512375,0.0001211499,0.0001879302,0.00006405322,0.0002109973,0.00009640061,0.0001317563,0.0002397559,0.0004651115],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002453704,"about_ca_system_score_gemma":0.0001792396,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004148431,"about_ca_topic_score_gemma":0.0005818254,"domain_scores_codex":[0.9999244,0.00001098323,0.000006605791,0.00001997957,0.00002293903,0.00001513164],"domain_scores_gemma":[0.9999483,0.000014375,0.00001487348,0.000004640141,0.000007971244,0.0000098168],"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":[0.00005513592,0.00000630112,0.0002171475,0.00002359775,0.000001985706,0.00005969085,0.00001101542,0.00004686967,0.9975006,0.0001422634,0.00005056397,0.001884753],"study_design_scores_gemma":[0.00001485379,0.0001366323,0.003776963,0.000006311567,0.00001490381,0.0003305113,0.00002666202,0.001084221,0.9886146,0.0001279904,0.005861864,0.000004574529],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.977687,0.005106675,0.009636718,0.0003125201,0.0001318027,0.00004913475,0.0003311987,0.0002400601,0.006504965],"genre_scores_gemma":[0.9900361,0.001517155,0.005700571,0.00007501645,0.00002134247,0.00002975321,0.0002243798,0.00003220365,0.002363469],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00095599,"threshold_uncertainty_score":0.003198147,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01224881328813314,"score_gpt":0.2234276251469308,"score_spread":0.2111788118587977,"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."}}