{"id":"W2141346593","doi":"10.2337/db12-1763","title":"Epigenetics and Fetal Metabolic Programming: A Call for Integrated Research on Larger Cohorts","year":2013,"lang":"en","type":"letter","venue":"Diabetes","topic":"Birth, Development, and Health","field":"Medicine","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cégep de Chicoutimi; Université de Sherbrooke","funders":"Fonds de Recherche du Québec - Santé","keywords":"Gestational diabetes; Fetal programming; Pregnancy; Obesity; Overweight; Metabolic syndrome; Diabetes mellitus; Medicine; Offspring; Population; Epidemiology; Fetus; Bioinformatics; Endocrinology; Environmental health; Gestation; Internal medicine; Biology","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":[0.02468698,0.001190397,0.00372611,0.001944579,0.001893101,0.002893919,0.004146368,0.02104726,0.01005835],"category_scores_gemma":[0.05943105,0.0007693128,0.00256981,0.001996028,0.003189976,0.01011198,0.003751468,0.02238061,0.002875648],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004016601,"about_ca_system_score_gemma":0.005542177,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006249232,"about_ca_topic_score_gemma":0.008608704,"domain_scores_codex":[0.9890164,0.005619499,0.00111735,0.001151116,0.00253346,0.0005621574],"domain_scores_gemma":[0.8836935,0.08118309,0.005870684,0.008347035,0.01175842,0.009147325],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001011573,0.0003041911,0.03337003,0.001558738,0.0007625875,0.002913853,0.0006457138,0.000421946,0.001240209,0.01222798,0.5938668,0.3516764],"study_design_scores_gemma":[0.001094479,0.001260294,0.09070145,0.009097922,0.001245117,0.01139063,0.002600016,0.002286813,0.000817929,0.103986,0.7750492,0.0004700847],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0018383,0.03544692,0.001750263,0.9484426,0.01084223,0.00005009909,0.0003746451,0.00009370665,0.001161265],"genre_scores_gemma":[0.02020905,0.04491294,0.007631574,0.8031629,0.120719,0.0003952864,0.0007481546,0.00007604083,0.002145163],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.02468698,"threshold_uncertainty_score":0.1305588,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06784928488313555,"score_gpt":0.3544454457451001,"score_spread":0.2865961608619646,"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."}}