{"id":"W4378782124","doi":"10.1111/trf.17449","title":"<scp>SARS‐CoV</scp>‐2 seroprevalence among blood donors in Uganda: 2019–2022","year":2023,"lang":"en","type":"article","venue":"Transfusion","topic":"SARS-CoV-2 and COVID-19 Research","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"National Cancer Institute; National Institute on Drug Abuse; NHLBI Division of Intramural Research; National Heart and Lung Institute; U.S. Food and Drug Administration; Frederick National Laboratory for Cancer Research; National Institute of Allergy and Infectious Diseases; Division of Intramural Research, National Institute of Allergy and Infectious Diseases; National Institute of Diabetes and Digestive and Kidney Diseases; National Heart, Lung, and Blood Institute; U.S. Department of Defense","keywords":"Seroprevalence; Medicine; Antibody; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Coronavirus disease 2019 (COVID-19); Serology; Immunology; Demography; Internal medicine; Disease; Infectious disease (medical specialty)","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":[0.0006251968,0.0002355151,0.0003783977,0.0005357348,0.0001200906,0.00003081872,0.000269593,0.0002211587,0.00002960678],"category_scores_gemma":[0.0001824585,0.0002099809,0.0001581409,0.001583918,0.0001275725,0.0001621616,0.00007401561,0.0006221431,0.0005137624],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007004464,"about_ca_system_score_gemma":0.0001782593,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002058984,"about_ca_topic_score_gemma":0.001640477,"domain_scores_codex":[0.9975364,0.0001053824,0.0003664628,0.0005683144,0.0007604748,0.0006629184],"domain_scores_gemma":[0.9990819,0.0002487191,0.00003727479,0.0004807357,0.00008312891,0.0000683126],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00008469283,0.0002141084,0.428415,0.0002782359,0.00003157318,0.0005064848,0.001556051,0.000003254636,0.5645391,0.00001770926,0.001917704,0.002436072],"study_design_scores_gemma":[0.005006887,0.0005254816,0.4032386,0.0004867285,0.0001193155,0.00005211801,0.0005631138,0.001252914,0.570911,0.0001621876,0.01751614,0.0001654545],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945459,0.0005129899,0.0000447852,0.0003096257,0.0002258022,0.0007619705,0.00001532399,0.0002798927,0.003303761],"genre_scores_gemma":[0.9937298,0.001532811,0.00004315308,0.003464192,0.0001662627,0.00009640152,0.00001911848,0.00006641664,0.0008818057],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02517642,"threshold_uncertainty_score":0.8562774,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03190935139578235,"score_gpt":0.3213087723626758,"score_spread":0.2893994209668934,"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."}}