{"id":"W4384340660","doi":"10.1161/hypertensionaha.123.21179","title":"Association Between Maternal Glucose Levels in Gestational Diabetes Screening and Subsequent Hypertension","year":2023,"lang":"en","type":"article","venue":"Hypertension","topic":"Gestational Diabetes Research and Management","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Sciences and Engineering Research Council of Canada; Canadian VIGOUR Centre; Christie (Canada); University of Calgary; University of Alberta","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Gestational diabetes; Internal medicine; Diabetes mellitus; Hazard ratio; Glucose tolerance test; Impaired glucose tolerance; Population; Impaired fasting glucose; Endocrinology; Pregnancy; Gestation; Obstetrics; Gastroenterology; Type 2 diabetes; Insulin resistance; Confidence interval; Biology","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":[0.0007723877,0.0002409999,0.0001779934,0.0004728339,0.0002968026,0.0005331897,0.0005188694,0.0004547446,0.0009110998],"category_scores_gemma":[0.002950599,0.0002989441,0.0003959043,0.0009988358,0.0002961874,0.0001936132,0.0002982751,0.0007530244,0.0001136303],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001384021,"about_ca_system_score_gemma":0.001472489,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1431987,"about_ca_topic_score_gemma":0.1591,"domain_scores_codex":[0.9994073,0.0001357723,0.00004108088,0.0001097613,0.000152273,0.0001538418],"domain_scores_gemma":[0.9984344,0.0002862711,0.0007216122,0.0001122886,0.0001929706,0.000252464],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004792004,0.000006723324,0.9994179,0.000003080059,0.00002739514,0.0000345816,0.00001226924,0.00002506295,0.00004302133,0.000007481763,0.00004233561,0.0003322575],"study_design_scores_gemma":[0.000002816626,0.00002148038,0.9995857,0.000005510554,0.00002740364,0.000086817,0.00002071605,0.0001526761,0.0000229186,0.000008335962,0.00006420971,0.000001366064],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974712,0.0007345311,0.0001346679,0.0001374318,0.00001757829,0.000008172794,0.0007615524,0.000008996797,0.0007259424],"genre_scores_gemma":[0.999415,0.0001449692,0.00008082246,0.00002052085,0.000007011529,0.000003644749,0.0002188092,0.000001221829,0.0001079356],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1431987,"threshold_uncertainty_score":0.2847304,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06591947185519285,"score_gpt":0.2881907509049187,"score_spread":0.2222712790497259,"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."}}