{"id":"W4223606159","doi":"10.1016/j.jogc.2022.03.008","title":"Preeclampsia and Severe Maternal Morbidity During the COVID-19 Pandemic: A Population-Based Cohort Study in Ontario, Canada","year":2022,"lang":"en","type":"article","venue":"Journal of Obstetrics and Gynaecology Canada","topic":"COVID-19 Impact on Reproduction","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"Public Health Ontario; St. Michael's Hospital; Sinai Health System; University of Toronto; Institute for Work & Health; Mount Sinai Hospital","funders":"Canadian Institutes of Health Research; Ministry of Health -Singapore; University of Toronto; Ontario Ministry of Health and Long-Term Care; Institute for Clinical Evaluative Sciences","keywords":"Medicine; HELLP syndrome; Preeclampsia; Obstetrics; Pregnancy; Odds ratio; Population; Pandemic; Retrospective cohort study; Cohort study; Odds; Pediatrics; Logistic regression; Coronavirus disease 2019 (COVID-19); Internal medicine; Environmental health","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.0007354152,0.000570145,0.0007874254,0.001141007,0.004050001,0.002090269,0.002247603,0.00123116,0.002040325],"category_scores_gemma":[0.002486345,0.001068215,0.00120597,0.005037487,0.001109513,0.0008158272,0.001634165,0.001764382,0.0002978275],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02485282,"about_ca_system_score_gemma":0.03441532,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9922403,"about_ca_topic_score_gemma":0.9948303,"domain_scores_codex":[0.9984049,0.0001303742,0.0001161417,0.0003172769,0.0003599387,0.0006713265],"domain_scores_gemma":[0.9972354,0.0001209593,0.0007085832,0.0001709724,0.0008291085,0.0009350186],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005887543,0.00003519444,0.9970555,0.00002028076,0.00008538413,0.000105839,0.0008358423,0.00004266397,0.00009819073,0.00008023102,0.0008827202,0.0006992284],"study_design_scores_gemma":[0.00001001985,0.00001841525,0.997847,0.00003615413,0.00003108449,0.00004852716,0.001489894,0.00009699089,0.00001215836,0.00002134673,0.0003770864,0.00001137593],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9892576,0.001077241,0.0001434829,0.0008403954,0.00004826901,0.00009117995,0.006365548,0.00001236372,0.002163825],"genre_scores_gemma":[0.9965753,0.0007113618,0.0001154583,0.0001996054,0.00001668251,0.00004033064,0.001395884,0.000006996628,0.0009383548],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02485282,"threshold_uncertainty_score":0.1803207,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02543371219842529,"score_gpt":0.2714836635231333,"score_spread":0.246049951324708,"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."}}