{"id":"W2746410442","doi":"10.25222/larr.62","title":"Inequality and Inclusion in Latin America","year":2017,"lang":"en","type":"article","venue":"Latin American Research Review","topic":"Income, Poverty, and Inequality","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Cambridge; International Development Research Centre; Carter Center; Woodrow Wilson International Center for Scholars; Ford Foundation","keywords":"Latin Americans; Inequality; Inclusion (mineral); Political science; Sociology; Gender studies; Mathematics; Law","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.004971662,0.001986755,0.003165457,0.003813468,0.001632767,0.006364502,0.002940832,0.006751571,0.01409075],"category_scores_gemma":[0.01240657,0.0006369933,0.001836995,0.00358427,0.001918592,0.005320158,0.003043494,0.008913806,0.005364359],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002476856,"about_ca_system_score_gemma":0.003817616,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005041098,"about_ca_topic_score_gemma":0.01060374,"domain_scores_codex":[0.9982588,0.000528784,0.0002937015,0.000197247,0.0005239255,0.0001975318],"domain_scores_gemma":[0.9912596,0.004439353,0.000647591,0.0001748793,0.002788934,0.0006896066],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00002245718,0.00001203222,0.00009358023,0.0006543179,0.0000177272,0.00003293997,0.00004907545,0.00001880499,0.00003234759,0.001008021,0.9824857,0.0155731],"study_design_scores_gemma":[0.00002647639,0.00002577519,0.001489604,0.003412856,0.00005286587,0.000125867,0.0002478519,0.0000592024,0.00004668962,0.002297399,0.9921897,0.00002570702],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"editorial","genre_gemma":"empirical","genre_scores_codex":[0.00009062415,0.2925568,0.00008245186,0.1386564,0.5665554,0.00001479073,0.00009706174,0.0000188322,0.001927645],"genre_scores_gemma":[0.001009553,0.207641,0.0001431174,0.0570979,0.7279277,0.00005040918,0.0001303774,0.0000280686,0.005971938],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01409075,"threshold_uncertainty_score":0.04713821,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2206187715058664,"score_gpt":0.5035051812789313,"score_spread":0.2828864097730649,"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."}}