{"id":"W4392189570","doi":"10.1136/bmjgh-2023-014872","title":"The role of Africa Centres for Disease Control and Prevention during response to COVID-19 pandemic in Africa: lessons learnt for future pandemics preparedness, prevention, and response","year":2024,"lang":"en","type":"editorial","venue":"BMJ Global Health","topic":"Zoonotic diseases and public health","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"Mastercard Foundation","funders":"Centers for Disease Control and Prevention","keywords":"Pandemic; Preparedness; Coronavirus disease 2019 (COVID-19); 2019-20 coronavirus outbreak; Disease control; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Disease; Medicine; Coronavirus Infections; Political science; Environmental health; Virology; Infectious disease (medical specialty); Outbreak","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":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.006829227,0.000377,0.0009028747,0.0001786122,0.0003783571,0.00008675722,0.0001814165,0.0004362903,0.000002735805],"category_scores_gemma":[0.01141275,0.000295435,0.0002372282,0.0003420945,0.0001111551,0.00006967254,0.0001144844,0.0003659952,6.55144e-7],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001963313,"about_ca_system_score_gemma":0.02091098,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002360071,"about_ca_topic_score_gemma":0.001095652,"domain_scores_codex":[0.9953591,0.001196725,0.001111103,0.0008292322,0.0006296313,0.0008741863],"domain_scores_gemma":[0.9936881,0.003335102,0.0005023222,0.0005050934,0.0002975907,0.001671799],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.3096084,0.000397062,0.002160703,0.01068091,0.0002177768,0.00001837683,0.003655779,0.00002715717,0.000007433075,0.001174823,0.6399795,0.03207206],"study_design_scores_gemma":[0.006729586,0.001779392,0.008075554,0.001623511,0.000326891,0.00001253202,0.00444307,0.0003688166,1.024322e-7,0.009558938,0.9668332,0.0002484471],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.2520243,0.2147979,0.003074418,0.1645543,0.2505621,0.06202544,0.05232397,0.0005271557,0.000110438],"genre_scores_gemma":[0.6840531,0.01519641,0.001289718,0.00123162,0.2793598,0.008516601,0.001727556,0.0003090554,0.008316079],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4320288,"threshold_uncertainty_score":0.9999498,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02565612597625662,"score_gpt":0.4092316580288383,"score_spread":0.3835755320525817,"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."}}