{"id":"W3037406816","doi":"10.11604/pamj.supp.2020.35.2.22863","title":"Migrant communities and the COVID-19 response in sub-Saharan Africa","year":2020,"lang":"en","type":"article","venue":"Pan African Medical Journal","topic":"Migration, Health and Trauma","field":"Psychology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for Global Health Research","funders":"","keywords":"Preparedness; Economic growth; Pandemic; Context (archaeology); Vulnerability (computing); Outreach; Development economics; Public health; Refugee; Coronavirus disease 2019 (COVID-19); Political science; Medicine; Socioeconomics; Geography; Disease; Sociology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002436396,0.0002185546,0.0002700471,0.0008516147,0.007611122,0.002927508,0.000446646,0.001434921,0.004776691],"category_scores_gemma":[0.003656146,0.0001788244,0.0002260424,0.0007128182,0.003968378,0.001694582,0.004658441,0.002331089,0.0002450786],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002111588,"about_ca_system_score_gemma":0.005169928,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01000333,"about_ca_topic_score_gemma":0.02714815,"domain_scores_codex":[0.9982378,0.00111037,0.00003877162,0.00004582223,0.0001094838,0.0004577146],"domain_scores_gemma":[0.9983492,0.0003013134,0.0003207517,0.00001832131,0.0001207902,0.0008896473],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00006690248,0.0006143358,0.08062468,0.0007082972,0.00004923778,0.0037581,0.7685918,0.0001664159,0.0005452675,0.02216274,0.02971005,0.09300217],"study_design_scores_gemma":[0.00001051759,0.0001457604,0.03783401,0.0007778936,0.00001262781,0.0009065925,0.9138779,0.00006467719,0.00004498854,0.004969136,0.04133973,0.00001626601],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.796129,0.01495716,0.0003983827,0.1472353,0.0009597787,0.0001003714,0.00004104821,0.00001791962,0.04016099],"genre_scores_gemma":[0.9793772,0.01100445,0.0002769308,0.006443304,0.0001689847,0.00004832508,0.00001067594,0.000006508158,0.002663778],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01000333,"threshold_uncertainty_score":0.01989019,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06156818860032313,"score_gpt":0.340317713218278,"score_spread":0.2787495246179548,"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."}}