{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000909585,0.0002121171,0.0001643525,0.00006251712,0.0001103624,0.00001257553,0.000220783,0.0001538717,0.0001565053],"category_scores_gemma":[0.0001122167,0.0002228433,0.000080405,0.0000820088,0.0001570754,0.000009813505,0.0001022776,0.0001117362,0.00006541477],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002042847,"about_ca_system_score_gemma":0.00004509204,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005217,"about_ca_topic_score_gemma":0.000006355579,"domain_scores_codex":[0.9984869,0.0001096907,0.0002855381,0.0005794046,0.00007709452,0.0004614048],"domain_scores_gemma":[0.9991983,0.00000573365,0.0001430589,0.0004960937,0.00006073905,0.00009604348],"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":[0.00009452234,0.00009928732,0.002956708,0.00001652297,0.00007336928,0.0000158824,0.00006095116,0.000006021836,0.9626886,0.0001488675,0.03306424,0.0007749955],"study_design_scores_gemma":[0.0003797971,0.0001136065,0.009801953,0.000007215387,0.00002960726,0.0002167718,0.00004491592,0.000007449384,0.9545079,0.0002387474,0.03441199,0.0002399776],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955498,0.002412173,0.000338872,0.0001918305,0.0004627748,0.0002829795,0.00005031352,0.00006723099,0.0006439998],"genre_scores_gemma":[0.9939556,0.0001057233,0.00382018,0.00009560821,0.0003786781,0.00004428472,0.0009279443,0.00003885501,0.0006330964],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008180673,"threshold_uncertainty_score":0.9087287,"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."}}