{"id":"W3123448876","doi":"","title":"Poverty and Inequality: A Micro Framework","year":2010,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Income, Poverty, and Inequality","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Poverty; Inequality; Economics; Equity (law); Income inequality metrics; Context (archaeology); Economic inequality; Income distribution; Welfare; Public economics; Development economics; Econometrics; Demographic economics; Economic growth; Geography; Political science; Mathematics","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":[],"consensus_categories":[],"category_scores_codex":[0.001151689,0.0005510973,0.0006538635,0.0028886,0.001800278,0.004678852,0.0009640465,0.001275378,0.01022088],"category_scores_gemma":[0.00222224,0.0003147136,0.0005868588,0.00272808,0.006640613,0.00591076,0.004283774,0.001942255,0.0006062436],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002544536,"about_ca_system_score_gemma":0.001436159,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005184314,"about_ca_topic_score_gemma":0.004022952,"domain_scores_codex":[0.998973,0.0005321809,0.00002300911,0.0001303037,0.0001871455,0.0001543408],"domain_scores_gemma":[0.9987404,0.000759116,0.000127121,0.00008267112,0.0001528114,0.0001379509],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00000379074,0.00001071468,0.001055872,0.00003168051,0.00001201543,0.0000530051,0.0002156328,0.001771849,0.0000399474,0.9921575,0.0009366148,0.003711365],"study_design_scores_gemma":[0.000003953824,0.00001582723,0.002588613,0.0001068391,0.00001400124,0.00007996605,0.0006681213,0.006262942,0.00003757428,0.9690254,0.02118685,0.000009828121],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.09850641,0.03949434,0.209148,0.09464077,0.0009405495,0.0001897797,0.002080898,0.0001736656,0.5548256],"genre_scores_gemma":[0.9564729,0.01151526,0.01279475,0.002117424,0.001092184,0.0002597217,0.0001649835,0.00005312455,0.01552963],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01022088,"threshold_uncertainty_score":0.03419226,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01490209947596356,"score_gpt":0.3062225870225969,"score_spread":0.2913204875466333,"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."}}