{"id":"W2892397380","doi":"10.1016/j.preghy.2018.08.024","title":"365. Maternal and fetal consequences of preeclampsia","year":2018,"lang":"en","type":"article","venue":"Pregnancy Hypertension","topic":"Atherosclerosis and Cardiovascular Diseases","field":"Immunology and Microbiology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Preeclampsia; Medicine; Endothelial dysfunction; Oxidative stress; Pregnancy; Offspring; Placenta; Diabetes mellitus; Population; Glycation; Advanced maternal age; Internal medicine; Fetus; Endocrinology; Biology","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":[0.0003213364,0.0001687821,0.0001901096,0.0003580058,0.0003479202,0.0007341331,0.0001900895,0.00067449,0.004559878],"category_scores_gemma":[0.001027502,0.00009317009,0.000287266,0.0003472925,0.000398102,0.0002838825,0.0003603273,0.0006658267,0.000407046],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000474367,"about_ca_system_score_gemma":0.0007701049,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003736136,"about_ca_topic_score_gemma":0.003691069,"domain_scores_codex":[0.9997273,0.00008293279,0.00001850417,0.00002169646,0.00008018934,0.00006931257],"domain_scores_gemma":[0.9997156,0.00006999294,0.00006681309,0.00002805835,0.00002810693,0.00009127296],"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":[0.005921946,0.0005576371,0.2592224,0.001793431,0.0005432861,0.02941511,0.002544315,0.001824934,0.06898949,0.08617827,0.02874427,0.5142648],"study_design_scores_gemma":[0.0001524447,0.001353418,0.7895195,0.0007808918,0.0005603164,0.0170077,0.001748086,0.0006963495,0.01260812,0.04018289,0.1353173,0.00007299284],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.6049947,0.2187338,0.002144807,0.03714665,0.002780821,0.00006744184,0.002768053,0.0001452143,0.1312185],"genre_scores_gemma":[0.9507386,0.03676928,0.0006052299,0.001211549,0.00116819,0.00001098304,0.0003357843,0.00001139278,0.009149051],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.004559878,"threshold_uncertainty_score":0.01525432,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02022423752540678,"score_gpt":0.2186900207235566,"score_spread":0.1984657831981498,"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."}}