{"id":"W3193986332","doi":"10.1002/uog.23757","title":"External validation of prognostic models to predict stillbirth using International Prediction of Pregnancy Complications (<scp>IPPIC</scp>) Network database: individual participant data meta‐analysis","year":2021,"lang":"en","type":"article","venue":"Ultrasound in Obstetrics and Gynecology","topic":"Maternal and Perinatal Health Interventions","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Institute of Child Health and Human Development; Health Technology Assessment Programme; Norwegian Institute of Public Health; College of Engineering, Michigan State University; Akershus Universitetssykehus; King's College London; Universitat de Barcelona; Università Cattolica del Sacro Cuore; Johns Hopkins University; Universitetet i Oslo; Université de Montréal; Rigshospitalet; Universidad de Granada; National and Kapodistrian University of Athens; Michigan State University; Universitair Medisch Centrum Groningen; Università degli Studi di Parma; Aarhus Universitet; Kementerian Pendidikan Nasional; Khon Kaen University; Università degli Studi di Milano-Bicocca; University of New South Wales; Universiteit Maastricht; Universidad de los Andes; NIHR School for Primary Care Research; Universidade de São Paulo; National Center for Child Health and Development; RMIT University; Portland State University; University of Toronto; World Health Organization; University of Dundee; University College Dublin; University of Bristol; University of Cambridge; University of North Carolina at Chapel Hill; Queen Mary University of London; National Institute for Health and Care Research; Assistance publique-Hôpitaux de Paris; Medical Research Council; Università degli Studi di Brescia; University of Aberdeen; Università degli Studi di Milano; Universidad Complutense de Madrid; Norges Teknisk-Naturvitenskapelige Universitet; South Australian Health and Medical Research Institute; University of South Florida; University of Oxford; Centre Hospitalier Universitaire de Québec; Monash University; Helsingin Yliopisto; Université Laval; Academisch Medisch Centrum; Universitätsspital Basel; Syddansk Universitet","keywords":"Medicine; Meta-analysis; Predictive modelling; Calibration; Pregnancy; Statistic; MEDLINE; Discriminative model; Cohort study; Obstetrics; Statistics; Machine learning; Internal medicine; Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004408744,0.0001287083,0.0005657896,0.00037145,0.00006163106,0.00002241815,0.0002306851,0.00009345926,0.0001596377],"category_scores_gemma":[0.007033124,0.0001236871,0.0001280293,0.001057411,0.00007104925,0.0002111174,0.0002575559,0.0001611458,0.000001176537],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003253321,"about_ca_system_score_gemma":0.0001354505,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001722558,"about_ca_topic_score_gemma":0.0001245726,"domain_scores_codex":[0.9980349,0.0001461722,0.0008392525,0.0004040454,0.0003229277,0.0002526969],"domain_scores_gemma":[0.9922947,0.006388603,0.0003099505,0.0005004295,0.0003624949,0.0001438],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004701751,0.002666754,0.8780511,0.002042189,0.0333449,0.00007825517,0.001800016,0.06517038,0.004899892,0.006934069,0.0002002469,0.004765166],"study_design_scores_gemma":[0.002021771,0.0007999824,0.8018308,0.0006568902,0.05617553,0.0002040489,0.0006215764,0.1282154,0.002262874,0.002649751,0.004380194,0.0001812142],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9525558,0.01041659,0.02906519,0.00009360795,0.0005226419,0.0005404324,0.006634769,0.00001602886,0.0001549034],"genre_scores_gemma":[0.9883341,0.00110992,0.008155091,0.00006671329,0.00003763391,0.0000556729,0.002089166,0.00001054701,0.0001411345],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07622034,"threshold_uncertainty_score":0.8419814,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2389665380762145,"score_gpt":0.3711748934073784,"score_spread":0.1322083553311639,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). 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