{"id":"W3120923215","doi":"10.5539/gjhs.v13n2p91","title":"COVID-19 in Sub-Saharan African Countries: Association between Compliance and Public Opinion","year":2021,"lang":"en","type":"article","venue":"Global Journal of Health Science","topic":"Misinformation and Its Impacts","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Public health; Pandemic; Outbreak; Public opinion; Environmental health; Coronavirus disease 2019 (COVID-19); Medicine; Isolation (microbiology); Logistic regression; Cross-sectional study; Disease; Infectious disease (medical specialty); Political science; Nursing","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002675252,0.0001771661,0.0002444257,0.0006959364,0.000524935,0.0007750778,0.0002417928,0.0004842357,0.002452194],"category_scores_gemma":[0.01091002,0.000192011,0.0003715267,0.001196742,0.000546904,0.0006644201,0.0008100538,0.0007251263,0.0001709044],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004350214,"about_ca_system_score_gemma":0.0006207133,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007597462,"about_ca_topic_score_gemma":0.006548242,"domain_scores_codex":[0.9983926,0.0007975156,0.0002000642,0.0001226188,0.0002509673,0.0002361268],"domain_scores_gemma":[0.9905776,0.002582506,0.005472539,0.0001735016,0.0006276286,0.0005662492],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004093415,0.00004532139,0.9926878,0.00008180989,0.00003526144,0.00007790045,0.002990489,0.00001757724,0.00006256684,0.00004010606,0.0002848268,0.003635284],"study_design_scores_gemma":[0.000003729041,0.0000637926,0.993403,0.00008334402,0.00001508034,0.0001027201,0.005710114,0.0000874739,0.00002628061,0.00002827108,0.0004721976,0.000003964647],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977601,0.000373278,0.0000385775,0.0005675468,0.000012385,0.00001275455,0.0001842358,0.000001954268,0.001049172],"genre_scores_gemma":[0.9995422,0.0001933458,0.00003424715,0.00008276622,0.00001084404,0.000009901885,0.00006279587,6.734052e-7,0.00006327088],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007597462,"threshold_uncertainty_score":0.0151065,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1063385429547934,"score_gpt":0.4268336368034471,"score_spread":0.3204950938486537,"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."}}