{"id":"W3115448160","doi":"10.3310/hta24720","title":"Validation and development of models using clinical, biochemical and ultrasound markers for predicting pre-eclampsia: an individual participant data meta-analysis","year":2020,"lang":"en","type":"article","venue":"Health Technology Assessment","topic":"Pregnancy and preeclampsia studies","field":"Medicine","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Université de Montréal; University of Toronto; Centre Hospitalier Universitaire Sainte-Justine; Mount Sinai Hospital","funders":"National Institutes of Health; Tommy's; Sigrid Juséliuksen Säätiö; Signe ja Ane Gyllenbergin Säätiö; National Institute for Health and Care Research; Novo Nordisk; National Health and Medical Research Council; Novo Nordisk Fonden; Academy of Finland; King's Health Partners; Health Technology Assessment Programme; European Commission; Medical Research Council; Yrjö Jahnssonin Säätiö; University of Southampton; Foundation for Cardiovascular Research; Roche; Juho Vainion Säätiö; GlaxoSmithKline","keywords":"Eclampsia; Medicine; Meta-analysis; Obstetrics; Internal medicine; Pregnancy","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001996121,0.0001784339,0.001190149,0.0001536249,0.0002392796,0.00001346842,0.0001722731,0.0002165411,0.000005739986],"category_scores_gemma":[0.0002936573,0.0001495059,0.00008790234,0.000327189,0.0002514379,0.000149439,0.0002777404,0.0002907901,4.800816e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002370173,"about_ca_system_score_gemma":0.0004622016,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001435093,"about_ca_topic_score_gemma":0.00001538341,"domain_scores_codex":[0.997646,0.0001477457,0.001016911,0.0006559045,0.0002256267,0.0003078549],"domain_scores_gemma":[0.9984621,0.000346417,0.0004441754,0.0004837368,0.00007667286,0.0001869095],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.001015135,0.001506445,0.6117698,0.004365338,0.337838,0.000007767004,0.009775396,0.0005068947,0.003007137,0.002531165,0.0005268268,0.02715015],"study_design_scores_gemma":[0.008073783,0.00498324,0.1753834,0.0003483843,0.4863456,0.00008126895,0.01737282,0.2957701,0.006976743,0.0028582,0.0006866938,0.00111969],"study_design_candidate":"meta_analysis","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8368386,0.01175397,0.1417345,0.007704554,0.0000299099,0.001559658,0.0002424055,0.0001278691,0.000008505169],"genre_scores_gemma":[0.7590996,0.000343471,0.2398556,0.0003433685,0.00001507827,0.000091806,0.000240141,0.00001023155,6.60092e-7],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4363864,"threshold_uncertainty_score":0.6096672,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5534353641377758,"score_gpt":0.5031920126653394,"score_spread":0.05024335147243641,"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."}}