{"id":"W4402404312","doi":"10.1371/journal.pgph.0003411","title":"High SARS-CoV-2 seroincidence but low excess COVID mortality in Sierra Leone in 2020–2022","year":2024,"lang":"en","type":"article","venue":"PLOS Global Public Health","topic":"SARS-CoV-2 and COVID-19 Research","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; Lunenfeld-Tanenbaum Research Institute; Centre for Global Health Research; Aptose Biosciences (Canada); University of Toronto","funders":"Canadian Institutes of Health Research; Canada Research Chairs; Public Health Agency; Public Health Agency of Canada; Bill and Melinda Gates Foundation","keywords":"Sierra leone; Medicine; Demography; Outbreak; Serology; Vaccination; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Mortality rate; Excess mortality; Coronavirus disease 2019 (COVID-19); Disease; Death toll; Virology; Environmental health; Immunology; Antibody; Infectious disease (medical specialty); Internal medicine; Socioeconomics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.003268725,0.0003967715,0.0009439377,0.0004628439,0.0001090991,0.0002533245,0.0005945544,0.0002748152,0.00007946349],"category_scores_gemma":[0.001534162,0.0003754715,0.0001431012,0.00388224,0.0002191898,0.0006176171,0.0003110013,0.001192348,0.000353485],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.004003171,"about_ca_system_score_gemma":0.009265441,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03517603,"about_ca_topic_score_gemma":0.01745952,"domain_scores_codex":[0.9937142,0.0005516538,0.001092873,0.001176388,0.001725512,0.001739388],"domain_scores_gemma":[0.9982232,0.0002347062,0.0001186782,0.0008721004,0.0001910582,0.0003602827],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005313368,0.003649739,0.9033281,0.008756114,0.0003110908,0.008035528,0.001631653,0.000005640041,0.01730814,0.007151754,0.02029438,0.02899649],"study_design_scores_gemma":[0.01031758,0.002289765,0.7716557,0.004042575,0.00009133249,0.0008572346,0.001850732,0.02513657,0.01509473,0.009598415,0.1570664,0.001998957],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9596766,0.00319815,0.0001267971,0.03314508,0.0004715141,0.001253934,0.0001803019,0.0003162174,0.001631428],"genre_scores_gemma":[0.9066895,0.0001286922,0.00008985598,0.09252352,0.000306027,0.0001577721,0.00004186456,0.00003911767,0.00002363394],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1367721,"threshold_uncertainty_score":0.9998697,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1125883014747713,"score_gpt":0.4152131578672175,"score_spread":0.3026248563924461,"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."}}