{"id":"W4396693203","doi":"10.1242/bio.060308","title":"Hormonal regulation of miRNA during mammary gland development","year":2024,"lang":"en","type":"article","venue":"Biology Open","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; Courtois Foundation; Armand-Frappier Foundation","keywords":"Biology; microRNA; Mammary gland; Hormone; Physiology; Computational biology; Bioinformatics; Cell biology; Endocrinology; Gene; Genetics; Cancer; Breast cancer","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":[0.0001687021,0.0001846246,0.0002921339,0.0003313238,0.0001982766,0.0003580495,0.0001113896,0.0001898817,0.0007908364],"category_scores_gemma":[0.0002837987,0.0001598407,0.0003316341,0.0001872101,0.0001786424,0.0002797953,0.0002676698,0.000357257,0.0003422574],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002434753,"about_ca_system_score_gemma":0.0002016407,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004724408,"about_ca_topic_score_gemma":0.0007416246,"domain_scores_codex":[0.9997947,0.00002868294,0.00001457897,0.0000842329,0.00004022512,0.00003766805],"domain_scores_gemma":[0.9998602,0.00002638513,0.00004042239,0.00001211064,0.00003478661,0.00002612752],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001396448,0.000005914923,0.003337433,0.0000605195,0.000009154845,0.0001057234,0.00008022111,0.00003441759,0.9912764,0.0002352684,0.00007548765,0.004639954],"study_design_scores_gemma":[0.00001766062,0.0003273785,0.2993478,0.0000526733,0.0000914525,0.001148465,0.0002367583,0.0009366298,0.6718572,0.0004965498,0.02545023,0.00003705467],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9634875,0.01863398,0.01013247,0.0001878761,0.000129933,0.00004718047,0.001954921,0.0002182604,0.005207841],"genre_scores_gemma":[0.9859301,0.003988889,0.004685559,0.0001596679,0.00003494143,0.00005674179,0.001124825,0.00006482322,0.003954351],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007908364,"threshold_uncertainty_score":0.002645612,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01334474160537464,"score_gpt":0.2726145946346086,"score_spread":0.2592698530292339,"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."}}