{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008715384,0.0003510989,0.0008520877,0.0004329872,0.0001842694,0.0001002857,0.0001352922,0.0008499346,0.00007692606],"category_scores_gemma":[0.0002786227,0.0002598378,0.0001096515,0.0002534623,0.0002182425,0.00002824834,0.00005679744,0.00200874,0.00007867617],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008929875,"about_ca_system_score_gemma":0.0005133707,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007592505,"about_ca_topic_score_gemma":0.00001521392,"domain_scores_codex":[0.9971256,0.0001488542,0.0003900207,0.0006092613,0.0005788284,0.001147449],"domain_scores_gemma":[0.9983132,0.0003833355,0.0001085924,0.0003843645,0.000567682,0.000242863],"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":[0.00002104142,0.0001039169,0.01255111,0.001451054,0.0002736126,0.00002988155,0.0002303497,1.739348e-8,0.0001508199,0.000778856,0.9631948,0.02121449],"study_design_scores_gemma":[0.0007623499,0.0005627932,0.00799677,0.0004053604,0.0001266697,0.000002649405,0.00003505394,0.00004461512,0.001433621,0.001627809,0.9867263,0.0002759835],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.4070249,0.01244573,0.00004499879,0.5656239,0.001092369,0.0100007,0.0002856664,0.0002583409,0.003223297],"genre_scores_gemma":[0.02734833,0.03521499,0.01615932,0.8894499,0.008374809,0.004921687,0.0065055,0.0005321738,0.01149331],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.3796766,"threshold_uncertainty_score":0.9999854,"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."}}