{"id":"W4248419373","doi":"10.12688/wellcomeopenres.16070.1","title":"Sub-Saharan Africa preparedness and response to the COVID-19 pandemic: A perspective of early career African scientists","year":2020,"lang":"en","type":"preprint","venue":"Wellcome Open Research","topic":"Viral Infections and Outbreaks Research","field":"Medicine","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Alliance for Accelerating Excellence in Science in Africa; New Partnership for Africa's Development; Department for International Development, UK Government","keywords":"Preparedness; Perspective (graphical); Pandemic; Coronavirus disease 2019 (COVID-19); 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Political science; Geography; Medicine; Virology; Outbreak; Computer science; 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":["metaepi_narrow","open_science","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.01220286,0.0003514468,0.0008916068,0.001087467,0.0007690215,0.0008470321,0.00207463,0.0003164388,0.0003617593],"category_scores_gemma":[0.007371153,0.0002503699,0.0002036399,0.002547953,0.001253949,0.0001196337,0.01020391,0.002647475,0.0001618646],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001928588,"about_ca_system_score_gemma":0.005634481,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02710903,"about_ca_topic_score_gemma":0.001228599,"domain_scores_codex":[0.9919345,0.00269432,0.0005496262,0.001568359,0.002270428,0.0009827119],"domain_scores_gemma":[0.9931918,0.001629303,0.0001332864,0.001581665,0.001908254,0.001555704],"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":[0.1236316,0.002302748,0.04249386,0.003778893,0.002460794,0.001967977,0.2501844,0.0003187661,0.1349276,0.003912293,0.4215333,0.01248771],"study_design_scores_gemma":[0.008366255,0.01023654,0.1016253,0.00160631,0.0003595922,0.0005623247,0.03812905,0.001198789,0.003340784,0.009438865,0.8234938,0.001642318],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9003364,0.002429825,0.0001926525,0.05307725,0.0002180667,0.01097837,0.0007015601,0.00008431602,0.0319815],"genre_scores_gemma":[0.9901077,0.0005090396,0.0001957547,0.0002627883,0.0001721477,0.0009657331,0.00002099406,0.00006809276,0.007697723],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4019606,"threshold_uncertainty_score":0.9999949,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.333977842134014,"score_gpt":0.4765084602129337,"score_spread":0.1425306180789196,"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."}}