{"id":"W1562044805","doi":"","title":"A Unified Framework to Measuring Inequality in The Arab Countries","year":2010,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Income, Poverty, and Inequality","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Inequality; Lorenz curve; Economic inequality; Index (typography); Income distribution; Income inequality metrics; Percentile; Economics; Econometrics; Population; Gini coefficient; Weighting; Demographic economics; Mathematics; Development economics; Statistics; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.02661507,0.0003005898,0.0006177442,0.0004401233,0.00068168,0.0005792312,0.002250696,0.00108047,0.0001641459],"category_scores_gemma":[0.008777832,0.0002702323,0.000168504,0.0004067756,0.000791593,0.0001689281,0.0009830184,0.004975908,0.0000376667],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001559372,"about_ca_system_score_gemma":0.001886356,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01258534,"about_ca_topic_score_gemma":0.07982577,"domain_scores_codex":[0.9932203,0.002757638,0.0009010514,0.0008990891,0.0009606284,0.001261294],"domain_scores_gemma":[0.9947108,0.00306795,0.0002102683,0.00150157,0.0002621128,0.0002472673],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006928385,0.000846757,0.2070677,0.000698037,0.0001344988,0.00009681225,0.2581039,0.003483881,0.00004687513,0.4419919,0.0004778865,0.08635899],"study_design_scores_gemma":[0.0009654376,0.0001673692,0.1496201,0.001146556,0.00001800282,0.000002616817,0.06250998,0.000736867,0.0001204217,0.2494672,0.5333447,0.001900776],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7923379,0.00006488599,0.0000206799,0.005977142,0.001161635,0.001413124,0.00005915105,0.00004731219,0.1989182],"genre_scores_gemma":[0.9934292,0.003037342,0.0005958528,0.00110316,0.000917793,0.0003110511,0.00001322031,0.00003297393,0.0005594119],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5328668,"threshold_uncertainty_score":0.999975,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09450294708167578,"score_gpt":0.3858580117150772,"score_spread":0.2913550646334014,"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."}}