{"id":"W2170677203","doi":"10.1371/journal.pmed.1001589","title":"A Risk Prediction Model for the Assessment and Triage of Women with Hypertensive Disorders of Pregnancy in Low-Resourced Settings: The miniPIERS (Pre-eclampsia Integrated Estimate of RiSk) Multi-country Prospective Cohort Study","year":2014,"lang":"en","type":"article","venue":"PLoS Medicine","topic":"Pregnancy and preeclampsia studies","field":"Medicine","cited_by":221,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Wellcome Trust; Child and Family Research Institute; World Health Organization; Canadian Institutes of Health Research; Tongji University; Rockefeller Foundation; Bill and Melinda Gates Foundation; United States Agency for International Development","keywords":"Medicine; Eclampsia; Triage; Receiver operating characteristic; Logistic regression; Prospective cohort study; Pregnancy; Framingham Risk Score; Obstetrics; Gestational age; Gestational hypertension; Emergency medicine; Preeclampsia; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00156857,0.0002781137,0.001088084,0.0001328895,0.0001426498,0.000003371539,0.0001579225,0.00008144954,0.000003741207],"category_scores_gemma":[0.002396195,0.0001309072,0.00004800268,0.0003614925,0.0007603599,0.00005739262,0.00005963769,0.00039915,4.454142e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001086995,"about_ca_system_score_gemma":0.00009677937,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004786199,"about_ca_topic_score_gemma":0.0004034267,"domain_scores_codex":[0.997835,0.0002522815,0.0007318779,0.00038097,0.0004994549,0.0003003843],"domain_scores_gemma":[0.9966009,0.001700481,0.0007772094,0.0005010588,0.0003527322,0.00006760698],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002711139,0.0009321626,0.9246299,0.0005673998,0.001555607,0.000001028876,0.06521117,0.002171884,0.000218406,0.00002137304,0.00002483132,0.001955106],"study_design_scores_gemma":[0.01114673,0.002497622,0.6267606,0.003065401,0.001459633,0.000001810847,0.01926138,0.3355051,0.00007171099,0.0001499493,0.000001786624,0.00007828888],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9801695,0.001442062,0.01125731,0.0002716293,0.00004591998,0.006554289,0.0001298942,0.00002816359,0.0001012431],"genre_scores_gemma":[0.9966126,0.0008136845,0.001197594,0.00003833562,0.00002334493,0.001249264,0.00001656753,0.00003039568,0.00001818316],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3333332,"threshold_uncertainty_score":0.533824,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01154680680643274,"score_gpt":0.271195701951168,"score_spread":0.2596488951447353,"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."}}