{"id":"W2161080039","doi":"10.5539/ass.v6n8p131","title":"Urban informal sector and unemployment in third world cities: The situation in Nigeria","year":2010,"lang":"en","type":"article","venue":"Asian Social Science","topic":"Taxation and Compliance Studies","field":"Economics, Econometrics and Finance","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Panacea (medicine); Informal sector; Unemployment; Poverty; Urban poverty; Economics; Developing country; Labour economics; Poverty reduction; Economic growth; Development economics","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":[0.0002901326,0.000114616,0.0001934185,0.0007887392,0.00226491,0.001496845,0.0001639297,0.0006663546,0.001441913],"category_scores_gemma":[0.0004863486,0.0001247861,0.0001317952,0.001605392,0.001014883,0.0006527431,0.001242928,0.0006143508,0.00008936987],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001958138,"about_ca_system_score_gemma":0.001932968,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07413484,"about_ca_topic_score_gemma":0.1670931,"domain_scores_codex":[0.9997815,0.00006464783,0.00001720479,0.00001180376,0.00002307718,0.0001016693],"domain_scores_gemma":[0.9993479,0.00009658936,0.0002759993,0.000011005,0.00006052691,0.0002079969],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001724119,0.0001159976,0.9624634,0.0001815357,0.00001800444,0.002428938,0.0157272,0.0002332897,0.0003763358,0.00496478,0.000934722,0.01238322],"study_design_scores_gemma":[0.0000116286,0.00009680014,0.8472219,0.0005424906,0.00003988709,0.001794407,0.141263,0.0006186979,0.0001736704,0.001145406,0.007068063,0.00002410022],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958428,0.001695118,0.00002113627,0.0009635349,0.000009496919,0.000003418255,0.00004069311,7.070401e-7,0.00142311],"genre_scores_gemma":[0.9975718,0.001982396,0.00001793499,0.00007958691,0.000006747342,0.000003087427,0.00002020969,5.602229e-7,0.000317654],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07413484,"threshold_uncertainty_score":0.1474066,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02407471161923777,"score_gpt":0.2405554504666017,"score_spread":0.2164807388473639,"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."}}