{"id":"W4297364196","doi":"10.19088/ictd.2022.012","title":"Mobile Money Taxation and Informal Workers: Evidence from Ghana’s E-Levy","year":2022,"lang":"en","type":"report","venue":"","topic":"Taxation and Compliance Studies","field":"Economics, Econometrics and Finance","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Ghana; University of Toronto; University of Sussex; Rhodes University; Bill and Melinda Gates Foundation","keywords":"Revenue; Mobile payment; Business; Tax revenue; Population; Financial transaction; Income tax; Savings account; Labour economics; Economics; Finance; Public economics; Payment","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":[0.00311599,0.0002085474,0.0002884475,0.001351828,0.0008417339,0.001298316,0.0004812608,0.0007051518,0.01218322],"category_scores_gemma":[0.01994513,0.0001735018,0.0002431413,0.0030629,0.00152652,0.001085059,0.001014425,0.001171957,0.0008599402],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001629788,"about_ca_system_score_gemma":0.00193272,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04741552,"about_ca_topic_score_gemma":0.04955217,"domain_scores_codex":[0.9985917,0.0007266859,0.00009121878,0.00007210888,0.0003274927,0.0001907512],"domain_scores_gemma":[0.9620375,0.02160642,0.01207313,0.0007005204,0.002412732,0.001169731],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001051765,0.0005311185,0.8760047,0.00154204,0.000209943,0.001493065,0.01127252,0.0002738691,0.0001010028,0.01071346,0.01637706,0.08042951],"study_design_scores_gemma":[0.0002067989,0.0003725495,0.9043774,0.004365678,0.0003299822,0.0006602367,0.03460982,0.000598138,0.0002657611,0.002601354,0.05158496,0.00002742402],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9406284,0.01779304,0.0003806988,0.01089437,0.0001194285,0.0001316977,0.00248799,0.000009738242,0.02755469],"genre_scores_gemma":[0.9885038,0.007877713,0.0001236626,0.0007216734,0.0000774477,0.00003188238,0.0004113787,0.000005222784,0.002247269],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04741552,"threshold_uncertainty_score":0.09427905,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09274559520218424,"score_gpt":0.2760294006975205,"score_spread":0.1832838054953362,"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."}}