{"id":"W4407026764","doi":"10.1177/2752535x251317651","title":"<i>‘We’re More Prepared than Before</i> : Understanding the Strategies Used by a Non-governmental Organization During the COVID-19 Pandemic in Sub-Saharan Africa","year":2025,"lang":"en","type":"article","venue":"Community Health Equity Research & Policy","topic":"Disaster Management and Resilience","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; Western University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Pandemic; Coronavirus disease 2019 (COVID-19); 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Virology; Political science; Economic growth; Medicine; Outbreak; Economics; Infectious disease (medical specialty); Disease","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01224794,0.0005887824,0.0004322094,0.001313626,0.01240031,0.009046352,0.001701399,0.004048568,0.003226336],"category_scores_gemma":[0.01628889,0.0005249017,0.0004037655,0.00131677,0.01760134,0.0156122,0.006924236,0.006199373,0.0003681656],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006224394,"about_ca_system_score_gemma":0.008412142,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02428668,"about_ca_topic_score_gemma":0.03235108,"domain_scores_codex":[0.991469,0.006524549,0.0002005716,0.0002779654,0.0003374675,0.001190529],"domain_scores_gemma":[0.9927374,0.004268692,0.001130843,0.0001637565,0.0006099776,0.001089312],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.000006689801,0.00001521604,0.002516199,0.0001510574,0.000004860291,0.0003069648,0.9848657,0.0000279316,0.00007978133,0.003733817,0.003606618,0.004685225],"study_design_scores_gemma":[0.000001053592,0.00001047695,0.001168324,0.0003050297,0.000002468341,0.000109723,0.9874961,0.00002647874,0.00002978258,0.0009317304,0.009912078,0.000006736009],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7269973,0.01234241,0.003948685,0.2223527,0.0008833152,0.0002020558,0.0001280563,0.00003486986,0.03311069],"genre_scores_gemma":[0.9758992,0.006114576,0.001158218,0.0147729,0.0001153751,0.0001115958,0.00003983548,0.00001992538,0.001768437],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02428668,"threshold_uncertainty_score":0.06477404,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2324221396812294,"score_gpt":0.5013044041764125,"score_spread":0.2688822644951832,"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."}}