{"id":"W4388562999","doi":"10.1111/aogs.14703","title":"Time trends in preeclampsia and gestational diabetes in Denmark and Alberta, Canada, 2005–2018—A population‐based cohort study","year":2023,"lang":"en","type":"article","venue":"Acta Obstetricia Et Gynecologica Scandinavica","topic":"Gestational Diabetes Research and Management","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; Alberta Health Services; Canadian VIGOUR Centre; Women and Children’s Health Research Institute; University of Alberta","funders":"National Heart, Lung, and Blood Institute; Canadian Institutes of Health Research; National Institutes of Health; Novo Nordisk Fonden","keywords":"Medicine; Gestational diabetes; Preeclampsia; Body mass index; Demography; Obstetrics; Cohort study; Pregnancy; Diabetes mellitus; Population; Cohort; Obesity; Confidence interval; Gestation; Internal medicine; Environmental health; Endocrinology","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":[0.001139979,0.0004976084,0.0007701511,0.002018954,0.001921895,0.001559603,0.001520948,0.0005906054,0.0008914813],"category_scores_gemma":[0.002016052,0.0007481131,0.0009224961,0.005946397,0.0005372136,0.0003566468,0.001097792,0.000681376,0.000188651],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01756537,"about_ca_system_score_gemma":0.01764648,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9825678,"about_ca_topic_score_gemma":0.9826416,"domain_scores_codex":[0.998504,0.0001131874,0.0001480381,0.0004055473,0.0005063879,0.0003228511],"domain_scores_gemma":[0.9979072,0.0001042416,0.0004693866,0.000136144,0.0009447417,0.0004383034],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001594112,0.00002577025,0.9956418,0.00005435454,0.0002188967,0.0001372314,0.0003566225,0.0001492382,0.0001561712,0.00007809583,0.00130672,0.001715562],"study_design_scores_gemma":[0.00001455169,0.00001228265,0.9984148,0.00003316732,0.00007565615,0.00006363205,0.000373596,0.0001786783,0.00002731008,0.00001229281,0.0007859616,0.00000812388],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9733586,0.002735813,0.0001824666,0.0002799309,0.00004276918,0.00006164355,0.02163026,0.00002368385,0.001684733],"genre_scores_gemma":[0.9859383,0.001333036,0.0003811241,0.0001250835,0.00001444732,0.00004513368,0.01106987,0.000008811217,0.001084235],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01756537,"threshold_uncertainty_score":0.1274463,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01497686714132634,"score_gpt":0.2787088701827906,"score_spread":0.2637320030414643,"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."}}