{"id":"W4406144999","doi":"10.1111/ppe.13157","title":"Maternal Prepregnancy Obesity and Offspring Intelligence Quotient at 5 Years: A Multicohort Analysis","year":2025,"lang":"en","type":"article","venue":"Paediatric and Perinatal Epidemiology","topic":"Gestational Diabetes Research and Management","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Research Unit on Children's Psychosocial Maladjustment","funders":"Nestlé; Caisse nationale de solidarité pour l'autonomie; Institut pour la Recherche en Santé Publique; Fondation pour la Recherche Médicale; Agence Nationale de Sécurité Sanitaire de l’Alimentation, de l’Environnement et du Travail; Université Paris-Sud; Institut National de la Santé et de la Recherche Médicale; Institut National Du Cancer; Fondation de France; CHIST-ERA; Fondation PremUP; Agence Nationale de la Recherche; Mutuelle Générale de l'Education Nationale; European Commission; Société Francophone du Diabète","keywords":"Medicine; Intelligence quotient; Body mass index; Wechsler Adult Intelligence Scale; Obesity; Pediatrics; Offspring; Confounding; Confidence interval; Gestation; Overweight; Pregnancy; Demography; Cognition; Internal medicine; Psychiatry","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":[0.002268334,0.0006216618,0.0006596586,0.001432462,0.0004869721,0.0007049308,0.0006605898,0.0006468629,0.00116357],"category_scores_gemma":[0.002481901,0.0006736257,0.001616409,0.001392266,0.0003271511,0.000459536,0.000656193,0.0005212255,0.0001558604],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004460693,"about_ca_system_score_gemma":0.0003198976,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009370115,"about_ca_topic_score_gemma":0.007662208,"domain_scores_codex":[0.9990602,0.0003530573,0.00007919285,0.0002638695,0.000122207,0.0001214956],"domain_scores_gemma":[0.9982581,0.0004569453,0.0006503353,0.0003265551,0.0001201298,0.0001880676],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002744288,0.0000295458,0.9983243,0.000008383381,0.0004722248,0.00009311894,0.00004250868,0.00007662772,0.00009738076,0.00001456297,0.00005745997,0.0005094588],"study_design_scores_gemma":[0.00001767891,0.0001527866,0.9987324,0.000007620562,0.0002448555,0.0002167717,0.00007502921,0.0004059951,0.00003531642,0.00001933446,0.00008686807,0.000005265616],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989092,0.0003545764,0.0001439801,0.0000195747,0.000004159649,0.00001175991,0.0004383055,0.000004305538,0.0001140837],"genre_scores_gemma":[0.9991401,0.0001232554,0.0001649241,0.00001261294,0.000005621698,0.0000178761,0.0004369936,0.000002487045,0.00009596803],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009370115,"threshold_uncertainty_score":0.01863116,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02145034412241024,"score_gpt":0.3276430926205797,"score_spread":0.3061927484981694,"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."}}