{"id":"W3177115269","doi":"10.1002/hpm.3263","title":"COVID‐19 and progress towards achieving universal health coverage in Africa: A case of Nigeria","year":2021,"lang":"en","type":"article","venue":"The International Journal of Health Planning and Management","topic":"Healthcare Systems and Reforms","field":"Economics, Econometrics and Finance","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for Global Health Research","funders":"","keywords":"Pandemic; Government (linguistics); Economic growth; Poverty; Business; Health care; Workforce; Developing country; Global health; Coronavirus disease 2019 (COVID-19); Healthcare system; Development economics; Medicine; Economics","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":[0.00126754,0.0002206221,0.0002375476,0.0007531267,0.003815958,0.002460386,0.0003046333,0.001599344,0.003428848],"category_scores_gemma":[0.001949852,0.0001724107,0.0002318944,0.0009537039,0.002255372,0.00169104,0.002119402,0.002228339,0.0001340027],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004378024,"about_ca_system_score_gemma":0.003523251,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04795506,"about_ca_topic_score_gemma":0.07190592,"domain_scores_codex":[0.9993377,0.0002441286,0.00001807337,0.00002432428,0.0000367776,0.000338842],"domain_scores_gemma":[0.998979,0.0004183839,0.0001608999,0.00001654797,0.00008540482,0.0003398078],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005142968,0.0007666659,0.1611842,0.0005105793,0.00004389293,0.07609562,0.07371692,0.005036456,0.00111142,0.6095467,0.01338466,0.05808867],"study_design_scores_gemma":[0.000173453,0.0004726214,0.1487558,0.002775164,0.0001221581,0.01471779,0.5627352,0.01350802,0.001330572,0.1026257,0.1526357,0.000147746],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9205729,0.003723933,0.000676612,0.02690255,0.0001005371,0.00005823808,0.00005192736,0.000004189468,0.04790911],"genre_scores_gemma":[0.994023,0.002067455,0.0002812768,0.0005507452,0.00002004613,0.00001432703,0.00001198126,0.000002865581,0.003028284],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04795506,"threshold_uncertainty_score":0.09535187,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06872846830629242,"score_gpt":0.3313493103845996,"score_spread":0.2626208420783072,"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."}}