{"id":"W2561566614","doi":"10.5430/ijfr.v8n1p112","title":"The Economic Geography of Human Capital in Twentieth-Century Latin America","year":2016,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Human capital; Latin Americans; Human Development Index; Life expectancy; Per capita; Per capita income; Population; Geography; Gross domestic product; Welfare; Education economics; Economic growth; Indigenous; Development economics; Demographic economics; Higher education; Demography; Political science; Human development (humanity); Economics; Comparative education; Sociology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0005684911,0.000194729,0.000225623,0.003089444,0.0005914785,0.001541024,0.0002285661,0.0002054392,0.003011432],"category_scores_gemma":[0.002745641,0.00007180142,0.0003214801,0.004787761,0.0009058905,0.0009449031,0.00145839,0.0004240129,0.0002076838],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001029106,"about_ca_system_score_gemma":0.0006183335,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05902998,"about_ca_topic_score_gemma":0.05592151,"domain_scores_codex":[0.9996837,0.00006217758,0.00001467904,0.00004967688,0.00003706587,0.0001526918],"domain_scores_gemma":[0.9983865,0.0003007517,0.0007417916,0.00008251268,0.00020836,0.0002799579],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004654771,0.00002599326,0.9773336,0.00005480347,0.00008200404,0.0002531,0.003425578,0.0008127654,0.0003641749,0.005643524,0.0005526791,0.01140516],"study_design_scores_gemma":[0.000002156842,0.00001032785,0.9939426,0.0000235123,0.000007978736,0.00006484882,0.001822608,0.0001061804,0.00005340106,0.0004925078,0.00346987,0.000004123345],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9770229,0.004150914,0.0003674499,0.00115602,0.00001661218,0.000008507943,0.0007650401,0.00001444558,0.01649814],"genre_scores_gemma":[0.9974129,0.0009405255,0.00009281432,0.00005746376,0.00002058762,0.00000857733,0.0004527077,0.00000541823,0.001009093],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05902998,"threshold_uncertainty_score":0.1173728,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04565790347178078,"score_gpt":0.3145907755301842,"score_spread":0.2689328720584034,"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."}}