{"id":"W2916851491","doi":"10.1016/j.bbadis.2019.02.009","title":"Endothelial dysfunction in pregnancy metabolic disorders","year":2019,"lang":"en","type":"review","venue":"Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease","topic":"Pregnancy and preeclampsia studies","field":"Medicine","cited_by":70,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"Centro para el Desarrollo de la Nanociencia y la Nanotecnología; Fondo Nacional de Desarrollo Científico y Tecnológico; Comisión Nacional de Investigación Científica y Tecnológica; Instituto Milenio en Inmunología e Inmunoterapia; Ministarstvo Prosvete, Nauke i Tehnološkog Razvoja","keywords":"Endothelial dysfunction; Gestational diabetes; Endothelium; Pregnancy; Pathological; Pathogenesis; Dysfunctional family; Metabolic syndrome; Bioinformatics; Hyperlipidemia; Diabetes mellitus; Medicine; Endocrinology; Internal medicine; Biology; Gestation; Psychiatry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001504316,0.001003785,0.003118272,0.0006046547,0.000062972,0.00003122572,0.000506535,0.0003690936,0.00003799738],"category_scores_gemma":[0.0002396652,0.0008509926,0.002150459,0.0008285448,0.0002487019,0.000150621,0.0003133319,0.0006203346,0.0000776895],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008265288,"about_ca_system_score_gemma":0.0008550666,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003562773,"about_ca_topic_score_gemma":0.000005929974,"domain_scores_codex":[0.9960032,0.0004978771,0.001070169,0.001146625,0.0006710571,0.0006110424],"domain_scores_gemma":[0.9971358,0.0001666709,0.0007278498,0.00154978,0.00008368904,0.0003362386],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001591688,0.005388054,0.00006988628,0.1432538,0.006494648,0.0001997127,0.0004154436,0.000003942408,0.01004902,0.002482982,0.0005992944,0.8294515],"study_design_scores_gemma":[0.01611133,0.002102003,0.009436149,0.3553325,0.07230409,0.00003187099,0.0001272027,0.00005072399,0.03991039,0.00189195,0.4956705,0.00703128],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.007275336,0.9868033,0.00002245831,0.0004399188,0.0003510175,0.003004228,0.0008002003,0.00009058914,0.001212982],"genre_scores_gemma":[0.05721905,0.9408464,0.0001319888,0.0001625367,0.0001101981,0.0005138596,0.0006951796,0.0001696361,0.0001511177],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.8224202,"threshold_uncertainty_score":0.9993941,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02616803233155024,"score_gpt":0.303803234818093,"score_spread":0.2776352024865427,"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."}}