{"id":"W4399203785","doi":"10.2337/dc24-0108","title":"Long-term Neurobehavioral and Metabolic Outcomes in Offspring of Mothers With Diabetes During Pregnancy: A Large, Population-Based Cohort Study in Ontario, Canada","year":2024,"lang":"en","type":"article","venue":"Diabetes Care","topic":"Gestational Diabetes Research and Management","field":"Medicine","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Michael's Hospital; Sunnybrook Health Science Centre; Sinai Health System; Health Sciences Centre; Mount Sinai Hospital; Lunenfeld-Tanenbaum Research Institute; University of Toronto; Institute for Clinical Evaluative Sciences","funders":"","keywords":"Medicine; Offspring; Pregnancy; Diabetes mellitus; Cohort; Cohort study; Population; Diabetes in pregnancy; Term (time); Obstetrics; Gestational diabetes; Gerontology; Pediatrics; Gestation; Endocrinology; Internal medicine; Environmental health","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0006060982,0.0004246692,0.0005032955,0.0008081499,0.002967185,0.0008870739,0.001159392,0.0003908465,0.001340704],"category_scores_gemma":[0.001329001,0.0005600277,0.0006419815,0.002935799,0.0005001068,0.0003795671,0.0008259935,0.000607393,0.0002462305],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01645134,"about_ca_system_score_gemma":0.01715533,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9895299,"about_ca_topic_score_gemma":0.9932957,"domain_scores_codex":[0.9993035,0.00004941209,0.00004579413,0.000166218,0.0002349847,0.0002001476],"domain_scores_gemma":[0.9987416,0.00005766661,0.0003374792,0.00008250392,0.0005045274,0.0002761629],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003582746,0.00001811106,0.9971634,0.00002117736,0.0000492157,0.0001181504,0.0005307794,0.00002977512,0.0001681729,0.00003840405,0.0007318404,0.001095163],"study_design_scores_gemma":[0.000009361398,0.00001315762,0.9986207,0.00002712243,0.00002851004,0.00005987636,0.0005805744,0.0001008119,0.0000219295,0.00001289634,0.0005196342,0.000005379922],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9894343,0.00100321,0.0002293012,0.0003728246,0.00001754475,0.00008840586,0.007390398,0.00001322336,0.001450822],"genre_scores_gemma":[0.9946033,0.001007729,0.00031681,0.0001589937,0.000008550428,0.00005536381,0.002513137,0.000006305677,0.001329863],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01645134,"threshold_uncertainty_score":0.1193634,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009341863320709952,"score_gpt":0.2570979245101624,"score_spread":0.2477560611894525,"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."}}