{"id":"W3161930665","doi":"10.1016/j.ajog.2021.04.261","title":"Incidence and risk factors for severe preeclampsia, hemolysis, elevated liver enzymes, and low platelet count syndrome, and eclampsia at preterm and term gestation: a population-based study","year":2021,"lang":"en","type":"article","venue":"American Journal of Obstetrics and Gynecology","topic":"Pregnancy and preeclampsia studies","field":"Medicine","cited_by":65,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; B.C. Women's Hospital & Health Centre; Children's & Women's Health Centre of British Columbia; University of British Columbia","funders":"Canadian Institutes of Health Research; Vetenskapsrådet; Institute of Human Development, Child and Youth Health; Forskningsrådet om Hälsa, Arbetsliv och Välfärd; Michael Smith Health Research BC; BC Children's Hospital","keywords":"Medicine; Preeclampsia; HELLP syndrome; Eclampsia; Obstetrics; Population; Hemolysis; Gestational age; Pregnancy; Incidence (geometry); Gestation; Internal medicine; Cumulative incidence; Cohort","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0009220075,0.0003759445,0.0003702639,0.001260015,0.0006521931,0.0007410806,0.0008396231,0.0004861801,0.001090028],"category_scores_gemma":[0.002196301,0.0004773021,0.0005995933,0.002740589,0.000451597,0.0004180161,0.0005366829,0.0007149623,0.0001382043],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002931945,"about_ca_system_score_gemma":0.002554643,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4089763,"about_ca_topic_score_gemma":0.4249613,"domain_scores_codex":[0.9990363,0.00013768,0.0001072325,0.0002462834,0.000299525,0.0001730435],"domain_scores_gemma":[0.9977494,0.0002282203,0.001061417,0.000173824,0.0004163315,0.0003708771],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001895244,0.00001006023,0.9993899,0.000007291848,0.00005196824,0.00002384068,0.00002804327,0.00002371367,0.00003345184,0.00000734864,0.00008591107,0.0003196351],"study_design_scores_gemma":[0.000003625596,0.00001655851,0.9995697,0.00000597493,0.00002056133,0.00008521004,0.00007056303,0.0001166833,0.0000107748,0.000006949645,0.00009003605,0.000003413606],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962826,0.0006373584,0.0001625444,0.00006752418,0.000006387506,0.00003425462,0.002331397,0.000007577332,0.0004703227],"genre_scores_gemma":[0.9981794,0.0003302766,0.0001333886,0.00003482591,0.000009138286,0.00001956444,0.001169898,0.000001960506,0.0001214369],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4089763,"threshold_uncertainty_score":0.8131917,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0117184707676054,"score_gpt":0.2509264479396735,"score_spread":0.2392079771720681,"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."}}