{"id":"W7096939344","doi":"","title":"1A Theil decomposition of Latin American income distribution in the 20th Century: Inverting the Kuznets Curve? E.H.P.Frankema Groningen Growth and Development Centre","year":2006,"lang":"en","type":"article","venue":"","topic":"Economic Theory and Policy","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Inequality; Latin Americans; Income distribution; Economic inequality; Income inequality metrics; Kuznets curve; Theil index","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.00148117,0.0005263326,0.0004667466,0.002328749,0.0007945078,0.002273812,0.0003909894,0.0003903827,0.01190815],"category_scores_gemma":[0.004004848,0.0002152881,0.0004495493,0.003846262,0.001400066,0.002248693,0.00136134,0.001187524,0.001637058],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001725381,"about_ca_system_score_gemma":0.0008445768,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007419803,"about_ca_topic_score_gemma":0.005235896,"domain_scores_codex":[0.9993595,0.0003398131,0.0000251656,0.00008855521,0.0001020705,0.00008490986],"domain_scores_gemma":[0.9990551,0.0002879923,0.0001927191,0.0001077526,0.0003005318,0.00005599403],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00006756603,0.00003210159,0.01707484,0.0001566623,0.00003646159,0.0001470006,0.001418345,0.00569664,0.0002053429,0.8223254,0.02408158,0.128758],"study_design_scores_gemma":[0.00001859909,0.00005127016,0.03604396,0.0004712459,0.00002307293,0.0002523091,0.001947346,0.02750739,0.0005024363,0.7809213,0.1521979,0.00006323157],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2378091,0.03981864,0.4334826,0.02592582,0.002294285,0.0001627385,0.006336156,0.0006671051,0.2535035],"genre_scores_gemma":[0.8957382,0.0137171,0.05265353,0.0007412393,0.0007350622,0.000220141,0.002243182,0.0002494917,0.03370196],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01190815,"threshold_uncertainty_score":0.0398367,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01308546805705046,"score_gpt":0.2088406628323053,"score_spread":0.1957551947752549,"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."}}