{"id":"W4392961617","doi":"10.1161/hypertensionaha.123.22418","title":"Association Between Gestational Diabetes Mellitus and Hypertension: A Systematic Review and Meta-Analysis of Cohort Studies With a Quantitative Bias Analysis of Uncontrolled Confounding","year":2024,"lang":"en","type":"review","venue":"Hypertension","topic":"Gestational Diabetes Research and Management","field":"Medicine","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Gestational diabetes; Confounding; Meta-analysis; Cohort study; Subgroup analysis; Cohort; Gestational hypertension; Internal medicine; Diabetes mellitus; Relative risk; Publication bias; Obstetrics; Pregnancy; Confidence interval; Endocrinology; Gestation; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.05654826,0.003853932,0.02200583,0.00836064,0.001026099,0.004642271,0.003210007,0.00306059,0.002865285],"category_scores_gemma":[0.1222356,0.002080294,0.05649292,0.00969939,0.001380106,0.002469576,0.002333369,0.002169916,0.0002490121],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004391017,"about_ca_system_score_gemma":0.007179417,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006538447,"about_ca_topic_score_gemma":0.01189811,"domain_scores_codex":[0.9461519,0.02889505,0.01566334,0.00380326,0.004643637,0.0008427833],"domain_scores_gemma":[0.8965266,0.08027536,0.01478401,0.003160778,0.00479215,0.0004611392],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.001109181,0.00001606239,0.005755302,0.3106678,0.6739253,0.000105391,0.00009007835,0.0004541682,0.0001313257,0.0001840166,0.0003616583,0.007199763],"study_design_scores_gemma":[0.0004311027,0.0001113665,0.002385732,0.02461062,0.9709137,0.0000735984,0.00003110011,0.000206134,0.0001015184,0.0002848953,0.000826253,0.00002400161],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.005285443,0.9894371,0.002351773,0.0003397453,0.0003451601,0.001162391,0.0007869195,0.00004124626,0.0002502408],"genre_scores_gemma":[0.2676633,0.7020342,0.01553643,0.002179146,0.0006676352,0.009319597,0.001983914,0.00008720114,0.0005285402],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.05654826,"threshold_uncertainty_score":0.2990593,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2252328686407707,"score_gpt":0.4059477173280862,"score_spread":0.1807148486873155,"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."}}