{"id":"W3121866363","doi":"","title":"The Relativity of Poverty and Income: How Reliable are African Economic Statistics?","year":2009,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Poverty; Economics; Development economics; Economic inequality; Population; Inequality; Geography; Demographic economics; Economic growth; Demography; Sociology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.02210329,0.0005040685,0.001377781,0.01044232,0.001303119,0.00556143,0.001077958,0.001237707,0.0016328],"category_scores_gemma":[0.2082605,0.0004767655,0.0005096379,0.01642324,0.007577891,0.0119269,0.003946481,0.003303917,0.0005951673],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001010702,"about_ca_system_score_gemma":0.0009347318,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0046941,"about_ca_topic_score_gemma":0.002609398,"domain_scores_codex":[0.9830434,0.01057901,0.001236938,0.001339298,0.00331565,0.0004857695],"domain_scores_gemma":[0.8403186,0.1101116,0.02131047,0.01819739,0.009140035,0.0009219362],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002252309,0.00004623472,0.501568,0.0009625342,0.001002382,0.0002711693,0.005989149,0.005886525,0.0002569903,0.1990466,0.01687924,0.2678659],"study_design_scores_gemma":[0.00002685512,0.0001533699,0.4081907,0.003924466,0.0003327228,0.0008635558,0.008066638,0.01171172,0.001062811,0.4654132,0.1000175,0.0002364466],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5402946,0.124585,0.1340047,0.11278,0.002922941,0.0001215313,0.01106339,0.0005490683,0.07367873],"genre_scores_gemma":[0.9702677,0.01540041,0.00910954,0.001173609,0.001655175,0.00006026757,0.001657592,0.00007731022,0.0005984184],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9778967,"threshold_uncertainty_score":0.1168948,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008584532512843909,"score_gpt":0.1896804394965654,"score_spread":0.1810959069837215,"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."}}