{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005207005,0.000051292,0.00009702252,0.0001489607,0.0002474319,0.000091557,0.000159827,0.00002152168,0.00005395102],"category_scores_gemma":[0.00007025855,0.00004700197,0.00001461665,0.000665904,0.0003196865,0.0002894638,0.00005498035,0.0001255631,0.0000299632],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004531381,"about_ca_system_score_gemma":0.00002808845,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000144237,"about_ca_topic_score_gemma":0.006494581,"domain_scores_codex":[0.9994249,0.000004571397,0.0002012121,0.0001448767,0.00004559209,0.00017889],"domain_scores_gemma":[0.9997708,0.00001498854,0.000108555,0.00007100139,0.00001251882,0.00002214846],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000003253986,0.000013304,0.6288921,0.000002423909,0.000001295961,2.527721e-7,0.02553893,4.953941e-7,0.0000408299,0.3389331,0.00040046,0.006173629],"study_design_scores_gemma":[0.0001400574,0.000006576752,0.9758861,0.00000241468,1.662106e-7,1.436822e-7,0.002093253,0.00004678493,0.00001250646,0.009681799,0.01206405,0.00006611639],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6612101,0.00003909812,0.00002615236,0.002318364,0.0003023639,0.0001120475,0.000005177466,0.000009442929,0.3359772],"genre_scores_gemma":[0.9989889,0.000007419143,0.00004521467,0.0003118392,0.00007443356,0.0000187127,4.403862e-7,0.00000206622,0.0005509876],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3469941,"threshold_uncertainty_score":0.3624129,"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."}}