{"id":"W2187495875","doi":"10.1016/s1701-2163(15)30435-7","title":"Uric Acid as a Predictor of Adverse Maternal and Perinatal Outcomes in Women Hospitalized With Preeclampsia","year":2014,"lang":"en","type":"article","venue":"Journal of Obstetrics and Gynaecology Canada","topic":"Pregnancy and preeclampsia studies","field":"Medicine","cited_by":60,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Sherbrooke; University of British Columbia","funders":"Canadian Institutes of Health Research; Michael Smith Health Research BC; Child and Family Research Institute","keywords":"Medicine; Preeclampsia; Hyperuricemia; Gestational hypertension; Obstetrics; Uric acid; Proteinuria; Gestational age; Logistic regression; Pregnancy; Internal medicine; Adverse effect; Eclampsia","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.0006366033,0.0002100152,0.0004721734,0.0005886335,0.0007475833,0.0008495059,0.0004801381,0.0007150682,0.0007403885],"category_scores_gemma":[0.004632481,0.0003276508,0.0005081948,0.00145102,0.0004298884,0.0004354062,0.0004562722,0.001285891,0.00006438202],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001136873,"about_ca_system_score_gemma":0.001798619,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0451364,"about_ca_topic_score_gemma":0.04559534,"domain_scores_codex":[0.9995154,0.0001796555,0.00005784132,0.00005195223,0.00007718839,0.0001179992],"domain_scores_gemma":[0.997992,0.0006752393,0.0006127087,0.00009159249,0.000173982,0.0004545694],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000297976,0.00008088376,0.9984214,0.000009923813,0.00005614277,0.00009524458,0.0001112783,0.00001415493,0.00005498588,0.0000222445,0.00004413077,0.0007916675],"study_design_scores_gemma":[0.00002591318,0.000196211,0.9985855,0.00001817817,0.000105696,0.0001540668,0.0006283067,0.00009748514,0.00003872277,0.00003723524,0.0001077019,0.000005025022],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985643,0.000806089,0.00001435515,0.000114396,0.0000146184,0.000005986244,0.00008103217,7.837617e-7,0.000398444],"genre_scores_gemma":[0.9991903,0.0004727451,0.00003262828,0.00005409574,0.00002103079,0.000005724243,0.00009959764,6.32979e-7,0.0001233141],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0451364,"threshold_uncertainty_score":0.08974731,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005130530590496705,"score_gpt":0.2093440454652641,"score_spread":0.2042135148747674,"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."}}