{"id":"W2179321080","doi":"10.5539/jsd.v8n9p79","title":"Challenges of Expanding Internally Generated Revenue in Local Government Council Areas in Nigeria","year":2015,"lang":"en","type":"article","venue":"Journal of Sustainable Development","topic":"Fiscal Policy and Economic Growth","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Local government; Revenue; Government (linguistics); Government revenue; Business; Economics; Public economics; Finance; Public administration; Political science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003124118,0.0001281442,0.0005190597,0.0002567346,0.00001824712,0.0000233722,0.0002260256,0.00008330102,0.00001590217],"category_scores_gemma":[0.0003174388,0.0001395598,0.00005270015,0.0001719114,0.00003233699,0.0002912524,0.00008733754,0.0001928027,0.00001145134],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005053097,"about_ca_system_score_gemma":0.0005868609,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001350795,"about_ca_topic_score_gemma":0.000344941,"domain_scores_codex":[0.9980177,0.00002370877,0.001322471,0.0001647067,0.0001358373,0.0003356088],"domain_scores_gemma":[0.9988666,0.00002725875,0.0007349353,0.0001057141,0.0001482724,0.0001172907],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001886196,0.001701495,0.7022232,0.001006646,0.0004712713,0.002351288,0.1137838,0.009076934,0.0001065207,0.1450967,0.01072664,0.01156925],"study_design_scores_gemma":[0.0117549,0.0007533296,0.6107903,0.0009068378,0.000009255661,0.0001692922,0.1061711,0.001181137,0.002864796,0.1512151,0.1130535,0.00113034],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9798382,0.003255147,0.0003891681,0.0005483848,0.0002262865,0.0001159534,0.000005099488,0.000002035373,0.01561974],"genre_scores_gemma":[0.9984635,0.0001596033,0.0004321141,0.00006618343,0.00006504951,0.000007881351,5.183499e-7,0.00001318978,0.0007919775],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1023269,"threshold_uncertainty_score":0.9987663,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06872030622916786,"score_gpt":0.2299174745393199,"score_spread":0.161197168310152,"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."}}