{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008285064,0.0009973552,0.00108424,0.001340305,0.000322008,0.001055448,0.001307353,0.0007309585,0.001380397],"category_scores_gemma":[0.01108373,0.0005413464,0.001521692,0.0006274999,0.0002132961,0.0004558887,0.001030787,0.001175381,0.0002518849],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007859089,"about_ca_system_score_gemma":0.001594385,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01288997,"about_ca_topic_score_gemma":0.008937473,"domain_scores_codex":[0.9987113,0.0008316346,0.00006169497,0.0001856789,0.0001094698,0.0001002234],"domain_scores_gemma":[0.9947782,0.003407095,0.000617609,0.0003537079,0.0005554176,0.0002879803],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002873537,0.0008431021,0.8539032,0.00009103649,0.001572915,0.0004483495,0.0002094242,0.1064495,0.0004045771,0.000856685,0.003509791,0.02883781],"study_design_scores_gemma":[0.0003607296,0.0007695741,0.08596303,0.00005999794,0.0003437137,0.0002067142,0.000155261,0.9106309,0.0001388484,0.0007850075,0.0005530513,0.00003310258],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9658237,0.0002894312,0.02873589,0.0007888763,0.00006220192,0.0003865354,0.003105066,0.0001891878,0.000619249],"genre_scores_gemma":[0.9712388,0.0001705445,0.02320013,0.0001565079,0.00005298036,0.0004362946,0.004290062,0.00001870356,0.0004359563],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01288997,"threshold_uncertainty_score":0.04381609,"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."}}