{"id":"W1020080770","doi":"","title":"Governance, human development and economic growth in Latin America","year":2010,"lang":"en","type":"article","venue":"Revista IIDH","topic":"Income, Poverty, and Inequality","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Poverty; Unemployment; Romer; Context (archaeology); Latin Americans; Economics; Corporate governance; Economic governance; Development economics; Welfare economics; Economic growth; Geography; Political science","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":[0.0008121096,0.0001359256,0.0001784519,0.00138124,0.0005748738,0.001792076,0.0001525101,0.0002033368,0.001923975],"category_scores_gemma":[0.001346491,0.00006481792,0.000123886,0.003150854,0.001869798,0.0006835464,0.00127374,0.0004229592,0.00007287539],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001880626,"about_ca_system_score_gemma":0.001293013,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04600342,"about_ca_topic_score_gemma":0.04974593,"domain_scores_codex":[0.9997401,0.0001050508,0.00001053642,0.00002812483,0.00003034608,0.00008581832],"domain_scores_gemma":[0.9991711,0.000236912,0.0003078054,0.00003805954,0.00009458183,0.0001516037],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000821904,0.0002024426,0.7016435,0.0002797557,0.0001226667,0.0005890569,0.006931718,0.006464779,0.0005338158,0.1990089,0.004483761,0.07965744],"study_design_scores_gemma":[0.00002160564,0.00003910818,0.8963417,0.0003772826,0.0000351541,0.0001737577,0.010035,0.001913178,0.0001486825,0.04402449,0.04686986,0.00002016164],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8663286,0.02518349,0.0009195,0.01606281,0.00005579383,0.00002173321,0.0004011086,0.0000283125,0.09099872],"genre_scores_gemma":[0.9930952,0.005298071,0.0001696667,0.0001642534,0.00002841967,0.000007942279,0.00008513605,0.000002644162,0.001148742],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04600342,"threshold_uncertainty_score":0.09147131,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02361214395347856,"score_gpt":0.297800037453559,"score_spread":0.2741878935000804,"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."}}