{"id":"W2923808274","doi":"10.3968/10803","title":"Revenue Generation in Lagelu Local Government Area of Oyo State: A Correlate of Tax Mobilization and Utilization","year":2019,"lang":"en","type":"article","venue":"Canadian social science","topic":"Taxation and Compliance Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Local government; Revenue; Business; Tax revenue; Population; Value-added tax; Public economics; Economics; Finance; Public administration; Political science; Medicine","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":[0.0003565895,0.0001331771,0.000186479,0.001298631,0.000820238,0.0008214551,0.0003838902,0.0001926819,0.002683402],"category_scores_gemma":[0.001791405,0.0001447915,0.000148719,0.001651204,0.0005209918,0.0004839697,0.001068141,0.0003895825,0.0002848314],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0011256,"about_ca_system_score_gemma":0.001406591,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03921038,"about_ca_topic_score_gemma":0.07021388,"domain_scores_codex":[0.9996886,0.00006520289,0.00002922016,0.00003811006,0.00006636954,0.0001125545],"domain_scores_gemma":[0.9985184,0.0002894667,0.0006381046,0.00005248946,0.0002554566,0.0002460644],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003706869,0.00007179698,0.9860637,0.0000581651,0.0000131801,0.000347065,0.003428463,0.0001374471,0.0003474293,0.000195345,0.000377794,0.008922532],"study_design_scores_gemma":[0.000001664758,0.00004354231,0.9828877,0.00004403591,0.000008675502,0.0001707932,0.01491424,0.0002583052,0.0001133262,0.00004995165,0.001500361,0.000007408219],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987026,0.00005971788,0.00004420947,0.0000512696,0.000001875199,0.000009754368,0.0001046609,0.000002521968,0.001023361],"genre_scores_gemma":[0.9990937,0.0001101945,0.00008205271,0.000008955999,0.000002308888,0.00001244561,0.0001524555,0.000001482608,0.0005366013],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03921038,"threshold_uncertainty_score":0.07796431,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03839577811090487,"score_gpt":0.223880663056393,"score_spread":0.1854848849454881,"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."}}