{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005689505,0.000103693,0.0003767883,0.0003045057,0.00006797858,0.0000071004,0.00005918113,0.00006395368,0.00009137196],"category_scores_gemma":[0.0009512932,0.00009022422,0.00008019945,0.0003044411,0.000126457,0.00003632222,0.0003446838,0.0001233928,0.00001404377],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005591642,"about_ca_system_score_gemma":0.00002351801,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003904398,"about_ca_topic_score_gemma":0.00003501708,"domain_scores_codex":[0.99887,0.0001164578,0.0002777833,0.0003585902,0.0000909649,0.0002861682],"domain_scores_gemma":[0.9989863,0.0006043108,0.00005416929,0.0001566967,0.00004387382,0.0001546616],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005878314,0.00002684232,0.9709609,0.0002927951,0.0002770765,0.00002445804,0.00005117717,0.00008533616,0.00001297965,0.00233788,0.00007828608,0.02579355],"study_design_scores_gemma":[0.0002259037,0.00008561287,0.9897316,0.00002502866,0.0002518599,0.000007374538,0.00002686822,0.006969803,0.00002687171,0.0006606187,0.001921789,0.00006667161],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9877611,0.00700523,0.003728867,0.0006089719,0.00005714594,0.0002511234,0.00001320859,0.00002075552,0.0005536095],"genre_scores_gemma":[0.9918421,0.0040426,0.002031198,0.0003430504,0.00003013998,0.0000363299,0.00001988308,0.000003883482,0.001650837],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02572688,"threshold_uncertainty_score":0.3679237,"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."}}