{"id":"W4375864493","doi":"10.22541/au.168351842.24713732/v1","title":"Pre-pregnancy body mass index and other risk factors for early- and late-onset hemolysis, elevated liver enzymes, and low platelets (HELLP) syndrome: A population-based retrospective cohort study.","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Pregnancy and preeclampsia studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"HELLP syndrome; Medicine; Body mass index; Underweight; Population; Overweight; Obstetrics; Pregnancy; Hazard ratio; Gestation; Gestational age; Preeclampsia; Internal medicine; Confidence interval; Biology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001135335,0.0004708621,0.0004443181,0.00091201,0.0006843305,0.000706442,0.0006158433,0.0006353018,0.001423198],"category_scores_gemma":[0.001817944,0.001105223,0.0007379178,0.001680088,0.0003407614,0.0004090274,0.0004868929,0.001114014,0.0003903133],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001015464,"about_ca_system_score_gemma":0.001438129,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07248225,"about_ca_topic_score_gemma":0.09024741,"domain_scores_codex":[0.9993419,0.0001147133,0.00007193637,0.0001799184,0.0001758986,0.0001155415],"domain_scores_gemma":[0.9985474,0.0001401341,0.0004426881,0.0003065308,0.0002851859,0.0002780705],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001554954,0.00003256735,0.9987981,0.00001196997,0.000135588,0.00007559561,0.00004510194,0.00002287505,0.0001439825,0.00001291803,0.0002106929,0.0003549529],"study_design_scores_gemma":[0.00003835174,0.00009318499,0.9987333,0.00001346174,0.0001189695,0.0003647747,0.00009032117,0.0001534186,0.00003598911,0.00001275339,0.0003390633,0.00000622051],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955128,0.0005551167,0.0002139639,0.00006618187,0.00001443789,0.00007003517,0.003101991,0.000008446577,0.000456908],"genre_scores_gemma":[0.9960186,0.000435398,0.000329407,0.00007911924,0.00001730556,0.00007965814,0.002482337,0.000005426634,0.000552654],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07248225,"threshold_uncertainty_score":0.1441208,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01832267365953387,"score_gpt":0.2689895914440176,"score_spread":0.2506669177844837,"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."}}