{"id":"W4405257209","doi":"10.1093/jae/ejae022","title":"Impact of the COVID-19 Pandemic on Income Inequalities in Cameroon: The Influence of Employment Status","year":2024,"lang":"en","type":"article","venue":"Journal of African Economies","topic":"Employment and Welfare Studies","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"International Development Research Centre","keywords":"Inequality; Economics; Demographic economics; Quantile regression; Economic inequality; Income distribution; Distribution (mathematics); Household income; Social distance; Poverty; Development economics; Coronavirus disease 2019 (COVID-19); Geography; Economic growth; Econometrics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0007519801,0.0002103637,0.0002004296,0.0006020904,0.000412734,0.0006603556,0.0001581885,0.0002155247,0.002871662],"category_scores_gemma":[0.001956868,0.0000965388,0.0002339341,0.001014465,0.0004286636,0.0003189639,0.0006796693,0.0005189454,0.0001203986],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007405028,"about_ca_system_score_gemma":0.0005825995,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0400151,"about_ca_topic_score_gemma":0.04467144,"domain_scores_codex":[0.999437,0.0002735109,0.00001479067,0.00004197347,0.00002691652,0.0002057884],"domain_scores_gemma":[0.9988542,0.0004671397,0.0003280352,0.00003792122,0.0000883235,0.0002244356],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002264193,0.00006882355,0.9904999,0.0000277225,0.00005205082,0.000383844,0.0005336063,0.0004399898,0.000279405,0.0004274277,0.000327147,0.006733619],"study_design_scores_gemma":[0.000002006562,0.00004929105,0.9977991,0.00002497404,0.00001786648,0.00004476524,0.001017628,0.0006094977,0.00006387843,0.00008347439,0.0002842597,0.000003230652],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980991,0.0003809347,0.00005697739,0.0003079285,0.000007147687,0.000004855935,0.000313725,9.03147e-7,0.0008284085],"genre_scores_gemma":[0.999724,0.000103083,0.00001806736,0.00001364545,0.000003956632,0.000002117713,0.00005748299,4.020751e-7,0.00007725105],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0400151,"threshold_uncertainty_score":0.07956439,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09039459555302899,"score_gpt":0.4244605958826267,"score_spread":0.3340660003295977,"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."}}