{"id":"W2067735292","doi":"10.1172/jci64151","title":"MicroRNAs contribute to compensatory β cell expansion during pregnancy and obesity","year":2012,"lang":"en","type":"article","venue":"Journal of Clinical Investigation","topic":"Birth, Development, and Health","field":"Medicine","cited_by":168,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Centre Hospitalier de l’Université de Montréal","funders":"National Health and Medical Research Council; Medical Research Council; Société Francophone du Diabète; Fondation pour la Recherche Médicale; European Foundation for the Study of Diabetes; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Endocrinology; microRNA; Internal medicine; GPER; Biology; Insulin resistance; Estrogen receptor; Gene silencing; Insulin; Cell; Medicine; Gene; Genetics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0002366554,0.000293036,0.0001852794,0.0001966006,0.0001373721,0.0002954677,0.0001358555,0.0002960051,0.0006399744],"category_scores_gemma":[0.0004248605,0.0002071889,0.0001734871,0.00009201767,0.0002945513,0.0001728186,0.0002810516,0.0004669135,0.0001712687],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001943977,"about_ca_system_score_gemma":0.0002176038,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001899163,"about_ca_topic_score_gemma":0.0002402406,"domain_scores_codex":[0.9998668,0.0000383146,0.00001203532,0.0000245148,0.00002213047,0.00003604862],"domain_scores_gemma":[0.9998353,0.00003939952,0.00007137442,0.00001659742,0.00001161027,0.00002572291],"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":[0.0008234867,0.00003241074,0.003458456,0.00005656668,0.00001057887,0.0009206471,0.0001158667,0.0001259198,0.9835524,0.0004192106,0.0001300224,0.0103545],"study_design_scores_gemma":[0.00009917418,0.001268828,0.1687112,0.00008053159,0.0001340398,0.008045307,0.000357375,0.002451814,0.8030835,0.001729232,0.01399778,0.0000412808],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9891923,0.00434316,0.003653493,0.0003015489,0.0000599655,0.00002326296,0.00009251182,0.00009247143,0.00224118],"genre_scores_gemma":[0.9953538,0.001982768,0.001591457,0.0001108379,0.00002354834,0.00003136317,0.00006428607,0.00002038607,0.0008216188],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006399744,"threshold_uncertainty_score":0.002140939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0802865116520196,"score_gpt":0.368948658995544,"score_spread":0.2886621473435244,"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."}}