{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047687,0.0008291866,0.001654002,0.002674395,0.0003089911,0.001052243,0.0006802233,0.0009396676,0.002464889],"category_scores_gemma":[0.0006340593,0.0002827413,0.0004350597,0.002730342,0.0004061686,0.0009272887,0.0007011486,0.001522033,0.0008701783],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003776385,"about_ca_system_score_gemma":0.0009368771,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00136522,"about_ca_topic_score_gemma":0.002075078,"domain_scores_codex":[0.9998705,0.0000238897,0.00002889577,0.00002367293,0.00003920612,0.00001380569],"domain_scores_gemma":[0.9997212,0.0001378688,0.00005965623,0.000005737902,0.00005280161,0.00002266823],"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":[0.0001837285,0.0001401018,0.0007390945,0.02612495,0.0002367498,0.0006966623,0.00008131719,0.0003190755,0.001144605,0.002415878,0.02186133,0.9460565],"study_design_scores_gemma":[0.0001384952,0.0002955541,0.005386504,0.01779298,0.001547302,0.006013046,0.0002570467,0.0003681848,0.0009085656,0.005018497,0.9621949,0.00007897305],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00006433159,0.9994814,0.0000371373,0.0001126731,0.00008146286,0.000001418011,0.00000660542,0.00000182857,0.0002132277],"genre_scores_gemma":[0.0006039915,0.9989479,0.00006010856,0.00008054168,0.0001605366,0.000002341744,0.00001044566,3.068163e-7,0.0001338329],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002674395,"threshold_uncertainty_score":0.008245885,"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."}}