{"id":"W1927621376","doi":"10.3968/j.css.1923669720100605.024","title":"Local Government and Poverty Eradication in Rural Nigeria LE GOUVERNEMENT LOCAL ET L'ÉRADICATION DE LA PAUVRETÉ RURALE AU NIGERIA","year":2010,"lang":"fr","type":"article","venue":"Canadian social science","topic":"Socioeconomics of Resources and Conservation","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Poverty; Nigerians; Population; Political science; Government (linguistics); Independence (probability theory); Rural area; Humanities; Economic growth; Development economics; Sociology; Economics; Demography; Law","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":[0.0006559422,0.0000727391,0.00009756802,0.0003791563,0.00166824,0.001128362,0.0001721395,0.0004030466,0.00259164],"category_scores_gemma":[0.001440688,0.00008015807,0.00007908712,0.000465447,0.001718248,0.0004210233,0.001200542,0.000505425,0.0001292775],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001393071,"about_ca_system_score_gemma":0.002942143,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01227799,"about_ca_topic_score_gemma":0.02852581,"domain_scores_codex":[0.9994326,0.0003357605,0.00001952282,0.00002586176,0.00005901028,0.0001272042],"domain_scores_gemma":[0.9991764,0.0002260868,0.0002924046,0.00002139744,0.0001020071,0.0001816971],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000368309,0.001080661,0.483694,0.002553138,0.00008030868,0.009011916,0.1164329,0.003029597,0.004326441,0.09279674,0.01539784,0.2712281],"study_design_scores_gemma":[0.0000573992,0.000705201,0.5484588,0.004163851,0.00008380679,0.003054155,0.2784286,0.001237385,0.001362448,0.009631736,0.1527613,0.00005526659],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9490324,0.007883481,0.0003604372,0.007155389,0.00006270357,0.00003543806,0.00002477668,0.00001218282,0.0354333],"genre_scores_gemma":[0.9942353,0.002549226,0.0001083721,0.0002171125,0.000009561862,0.0000110702,0.00000527891,0.00000165046,0.002862317],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01227799,"threshold_uncertainty_score":0.02441305,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006194565259280103,"score_gpt":0.2094449566337032,"score_spread":0.2032503913744231,"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."}}