{"id":"W3119478592","doi":"10.1016/j.jebo.2021.06.045","title":"Health knowledge and non-pharmaceutical interventions during the Covid-19 pandemic in Africa","year":2021,"lang":"en","type":"article","venue":"Journal of Economic Behavior & Organization","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":21,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia; University of Toronto","funders":"","keywords":"Pandemic; Psychological intervention; Panacea (medicine); Sierra leone; Government (linguistics); Environmental health; Tanzania; Transmission (telecommunications); Developing country; Social distance; Medicine; Misinformation; Intervention (counseling); Economic growth; Business; Socioeconomics; Coronavirus disease 2019 (COVID-19); Disease; Political science; Infectious disease (medical specialty); Nursing; Alternative medicine; Sociology; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001462153,0.0001078891,0.0003965838,0.00008942332,0.0001888156,0.00003241877,0.000130765,0.00006361999,0.0002972365],"category_scores_gemma":[0.002588506,0.00007363497,0.00009174559,0.000154386,0.00006028225,0.0001087225,0.0001797656,0.0002868994,0.00001066114],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00115604,"about_ca_system_score_gemma":0.0002470276,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001639178,"about_ca_topic_score_gemma":0.0002829344,"domain_scores_codex":[0.9984813,0.0002301297,0.0008854104,0.0001531716,0.00005320561,0.0001968178],"domain_scores_gemma":[0.9984027,0.0008686511,0.0003615922,0.0001204869,0.00009820326,0.000148402],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001333527,0.0003013274,0.9923306,0.0002449362,0.00004338386,0.0000247947,0.002596505,0.0000724835,0.001224539,0.001041049,0.001387132,0.0007199901],"study_design_scores_gemma":[0.002169606,0.0001182951,0.9824384,0.0001674242,0.0002391611,0.0008186936,0.001072366,0.0001325335,0.0006318782,0.007718125,0.004249579,0.0002439814],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9894059,0.001114299,0.002770776,0.006284954,0.0002043694,0.0001757882,0.000005518795,0.00001659295,0.00002179451],"genre_scores_gemma":[0.9981605,0.0009275881,0.0004154927,0.0002863339,0.0001008584,0.000005649394,0.00000216925,0.00001590182,0.00008546351],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009892168,"threshold_uncertainty_score":0.3254532,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3607376855221611,"score_gpt":0.4910456630135641,"score_spread":0.130307977491403,"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."}}