{"id":"W3135185765","doi":"10.2196/21547","title":"Implementation of the COVID-19 Vulnerability Index Across an International Network of Health Care Data Sets: Collaborative External Validation Study","year":2021,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"COVID-19 Clinical Research Studies","field":"Medicine","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Janssen Research and Development; National Institutes of Health; Innovative Medicines Initiative; Novo Nordisk Fonden; Ministry of Trade, Industry and Energy; Novo Nordisk; Korea Health Industry Development Institute; National Institute for Health and Care Research; Generalitat de Catalunya; University of Oxford; Direcció General de Recerca, Generalitat de Catalunya; European Federation of Pharmaceutical Industries and Associations; U.S. National Library of Medicine; U.S. Department of Veterans Affairs; University of New South Wales; Wellcome Trust; Innovationsfonden; European Commission; National Institute of Diabetes and Digestive and Kidney Diseases; Bill and Melinda Gates Foundation","keywords":"Coronavirus disease 2019 (COVID-19); 2019-20 coronavirus outbreak; Index (typography); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Vulnerability (computing); Computer science; Medicine; Medical emergency; Data science; Computer security; Virology; Outbreak; World Wide Web","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.004171145,0.0001289317,0.0004813751,0.00003141901,0.0001956573,0.00002887992,0.0006678852,0.00009095175,0.0003618261],"category_scores_gemma":[0.01924431,0.00008876123,0.00006385138,0.0006254484,0.0003647576,0.0003863279,0.001328236,0.0004471318,0.000001689622],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004172233,"about_ca_system_score_gemma":0.006243077,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003981079,"about_ca_topic_score_gemma":0.001128115,"domain_scores_codex":[0.9948679,0.0006281775,0.001653863,0.0002071338,0.002364113,0.0002788212],"domain_scores_gemma":[0.9950525,0.001662105,0.0007208419,0.001020762,0.001181166,0.0003626845],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001939805,0.0007195165,0.8864836,0.001295405,0.0002195241,0.00000607389,0.06274394,0.0002824831,0.000004042258,0.00007426512,0.001894094,0.04608305],"study_design_scores_gemma":[0.006655628,0.001175206,0.7625784,0.000271514,0.00005868124,0.000005208676,0.2136943,0.006279336,0.0001279745,0.0001890172,0.008821814,0.0001429497],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9832762,0.00006916007,0.005854844,0.007966142,0.000298689,0.00171446,0.0007499664,0.0000233422,0.00004717168],"genre_scores_gemma":[0.9941229,0.0001129073,0.0008628106,0.004093934,0.0001270578,0.00006127059,0.0006033731,0.000007195533,0.00000857728],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1509503,"threshold_uncertainty_score":0.9993906,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1283763232054677,"score_gpt":0.5821279653096156,"score_spread":0.453751642104148,"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."}}