{"id":"W3013361081","doi":"10.1016/s1473-3099(20)30233-4","title":"Estimation of the COVID-19 burden in Egypt through exported case detection","year":2020,"lang":"en","type":"letter","venue":"The Lancet Infectious Diseases","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":50,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto General Hospital; BlueDot (Canada); Public Health Agency of Canada; Public Health Ontario; University of Toronto","funders":"","keywords":"Scopus; Pandemic; China; Coronavirus disease 2019 (COVID-19); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Medicine; Global health; Geography; 2019-20 coronavirus outbreak; Demography; Virology; Outbreak; Political science; MEDLINE; Disease; Public health; Infectious disease (medical specialty); Pathology; Sociology; Law","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009690938,0.0004195601,0.000537099,0.00160467,0.0004541618,0.00162139,0.0009898465,0.003087729,0.003621371],"category_scores_gemma":[0.04370268,0.0004109475,0.0005127212,0.001696919,0.0005904321,0.001759675,0.001338473,0.003400875,0.001443847],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003258357,"about_ca_system_score_gemma":0.002771759,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04622934,"about_ca_topic_score_gemma":0.04881699,"domain_scores_codex":[0.9975708,0.001513591,0.000237896,0.000154753,0.0002637277,0.0002592486],"domain_scores_gemma":[0.9839586,0.009206239,0.001641344,0.0008130309,0.003484881,0.0008958766],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0008679672,0.000128688,0.209074,0.0006262629,0.0002475647,0.001227099,0.0007598544,0.001950957,0.0007409878,0.01222352,0.5892038,0.1829494],"study_design_scores_gemma":[0.0008541095,0.000830122,0.422058,0.003867498,0.0005631672,0.002609025,0.005269622,0.02830215,0.002100008,0.05426786,0.4790539,0.0002246414],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.05151108,0.008198977,0.005449937,0.9048865,0.005143016,0.0001013007,0.01134242,0.0001702521,0.01319655],"genre_scores_gemma":[0.615414,0.0179748,0.01444133,0.3028383,0.01467359,0.0004573429,0.007879081,0.0001899955,0.02613162],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04622934,"threshold_uncertainty_score":0.0919205,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2189823287852534,"score_gpt":0.4097028522814641,"score_spread":0.1907205234962107,"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."}}