{"id":"W2176123746","doi":"10.2337/dc15-1421","title":"Prevalence and Timing of Screening and Diagnostic Testing for Gestational Diabetes Mellitus: A Population-Based Study in Alberta, Canada","year":2015,"lang":"en","type":"article","venue":"Diabetes Care","topic":"Gestational Diabetes Research and Management","field":"Medicine","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian VIGOUR Centre; University of Alberta; University of Calgary","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Interquartile range; Gestational diabetes; Logistic regression; Obstetrics; Diabetes mellitus; Glycemic; Population; Retrospective cohort study; Pregnancy; Internal medicine; Gestation; 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":[0.0009593954,0.0003870726,0.0003812556,0.00173992,0.001922402,0.001238459,0.001619326,0.0005349276,0.001212282],"category_scores_gemma":[0.002513184,0.0004980222,0.0004330319,0.004792453,0.0008664597,0.0003412736,0.0007508379,0.0005232912,0.0001557389],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02153989,"about_ca_system_score_gemma":0.02170832,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9929947,"about_ca_topic_score_gemma":0.9934882,"domain_scores_codex":[0.9983663,0.0001303004,0.0001019387,0.0002585606,0.0007838257,0.0003589677],"domain_scores_gemma":[0.997855,0.0001738767,0.0005636344,0.00008228649,0.0008168987,0.0005082955],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004236838,0.00002188407,0.9973589,0.00002027299,0.00003029642,0.00008359885,0.0002724907,0.00008420464,0.0001364337,0.00003732135,0.0003543503,0.001557898],"study_design_scores_gemma":[0.000006779859,0.00002015042,0.9987895,0.0000213289,0.00001563041,0.0000787902,0.0005779854,0.0002285765,0.00002861885,0.00001150553,0.0002149427,0.000006256892],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945787,0.0007200355,0.0001881197,0.0002146684,0.00001231168,0.00005229373,0.002779753,0.00001597037,0.001438207],"genre_scores_gemma":[0.9977641,0.0004588528,0.0002427321,0.00008558264,0.000005215683,0.00001320985,0.0009707959,0.000004365886,0.0004550705],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02153989,"threshold_uncertainty_score":0.1562835,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03251481312999033,"score_gpt":0.2889201481151578,"score_spread":0.2564053349851675,"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."}}