{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001003597,0.0001957069,0.0006853885,0.0004149551,0.00008358854,0.000008744623,0.00008554248,0.0000383659,0.0001675602],"category_scores_gemma":[0.0006541719,0.0001116459,0.0001584931,0.0003956332,0.0002434935,0.0000400081,0.00006425047,0.00009723721,0.000002198511],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003935132,"about_ca_system_score_gemma":0.0000560111,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001035344,"about_ca_topic_score_gemma":0.000003570202,"domain_scores_codex":[0.9977611,0.0001466598,0.0004711767,0.000309323,0.001022057,0.0002897187],"domain_scores_gemma":[0.9983579,0.0005704064,0.0001320404,0.0003808251,0.0002598548,0.0002989612],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005396556,0.0001198685,0.9589065,0.0005269373,0.00439853,0.000001899482,0.0001214309,0.0003279495,0.001145843,0.001250866,0.0001663518,0.03297989],"study_design_scores_gemma":[0.001303144,0.0003434175,0.9880843,0.0003285355,0.001565154,2.21956e-7,0.00002019055,0.006996405,0.0004254893,0.0007163948,0.0001173192,0.00009946708],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963059,0.00183185,0.0003863744,0.0009322867,0.00003196844,0.0003899758,0.00004213632,0.000009991665,0.00006951037],"genre_scores_gemma":[0.9981592,0.0001885197,0.001026499,0.0001377773,0.0000562164,0.00004304959,0.0003217729,0.0000151934,0.00005182676],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03288043,"threshold_uncertainty_score":0.4552787,"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."}}