{"id":"W2070482082","doi":"10.1111/dme.12635","title":"Impact of gestational diabetes mellitus and high maternal weight on the development of diabetes, hypertension and cardiovascular disease: a population‐level analysis","year":2014,"lang":"en","type":"article","venue":"Diabetic Medicine","topic":"Gestational Diabetes Research and Management","field":"Medicine","cited_by":107,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; University of Calgary; University of Alberta","funders":"Canadian Institutes of Health Research; Assistance publique-Hôpitaux de Paris; Alberta Innovates - Health Solutions","keywords":"Overweight; Medicine; Gestational diabetes; Diabetes mellitus; Obstetrics; Obesity; Population; Incidence (geometry); Pregnancy; Caesarean section; Type 2 diabetes; Internal medicine; Endocrinology; Gestation; Environmental health","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001138773,0.0003517832,0.0003915364,0.000813322,0.0005108273,0.0009203071,0.0006604336,0.0007288094,0.001616896],"category_scores_gemma":[0.002147305,0.0004802309,0.001237022,0.001963272,0.0004464281,0.0003292726,0.0005560379,0.001035931,0.0001675126],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001491314,"about_ca_system_score_gemma":0.001868454,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2422889,"about_ca_topic_score_gemma":0.2810051,"domain_scores_codex":[0.9991885,0.0002033981,0.0000583299,0.0001589072,0.0002254789,0.000165396],"domain_scores_gemma":[0.9983293,0.0002823862,0.0005166612,0.0002043888,0.0002633455,0.0004038755],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007688347,0.00001419759,0.9990118,0.000006534097,0.0002209235,0.00003357986,0.00001704644,0.00004574,0.00004448418,0.000007316864,0.00004930157,0.0004722512],"study_design_scores_gemma":[0.000004672685,0.00003661137,0.9995294,0.000004362846,0.00009047474,0.00004681992,0.00003865207,0.0001739971,0.000008324609,0.000007441295,0.00005695309,0.000002452728],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976385,0.0008421981,0.0001020639,0.000087809,0.00001234316,0.000007483,0.0007118765,0.000008280224,0.000589495],"genre_scores_gemma":[0.9990689,0.0002622319,0.00008372917,0.00001937821,0.00001123257,0.000004043166,0.0004216444,0.000002095072,0.0001267977],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2422889,"threshold_uncertainty_score":0.4817572,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02273120342379826,"score_gpt":0.260960411272289,"score_spread":0.2382292078484907,"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."}}