{"id":"W3123529195","doi":"","title":"Education, Governance, Trade and Distance: Impact on Technology Diffusion and the East Asia-Latin America Productivity Gap","year":2017,"lang":"en","type":"article","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Total factor productivity; Latin Americans; East Asia; Middle East; Recession; Corporate governance; Productivity; Economics; International trade; Development economics; International economics; Geography; Political science; China; Economic growth","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":[0.0004508252,0.0001155025,0.0002052216,0.0006562991,0.00024389,0.001079959,0.000116583,0.0002239017,0.002124478],"category_scores_gemma":[0.001660617,0.00005529691,0.0002725883,0.00153596,0.0003691935,0.0007961721,0.001032326,0.0004822837,0.0001426798],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007675253,"about_ca_system_score_gemma":0.000581431,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02746802,"about_ca_topic_score_gemma":0.0229586,"domain_scores_codex":[0.9998494,0.00002855157,0.000009760392,0.00002528,0.00002079242,0.00006614887],"domain_scores_gemma":[0.9986161,0.0002632192,0.0007531219,0.00004596997,0.0001254245,0.000196162],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001030667,0.00003341335,0.9826879,0.00003368679,0.00006217276,0.0001632101,0.0007151149,0.001283004,0.0003890021,0.002337354,0.0003972841,0.01179486],"study_design_scores_gemma":[0.000004070614,0.00001946264,0.9949523,0.00002361141,0.00002331471,0.00004271513,0.001241253,0.0005765358,0.0001923425,0.0003439748,0.002577009,0.000003455558],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952695,0.0007790123,0.0001259787,0.0006407461,0.000004319103,0.000001834367,0.0002666602,0.000005410274,0.002906652],"genre_scores_gemma":[0.9984227,0.0004514325,0.0000519026,0.00003288579,0.000009497381,0.000002489081,0.0002185217,0.000002392796,0.0008081892],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02746802,"threshold_uncertainty_score":0.05461627,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02436546344078424,"score_gpt":0.2807272112505476,"score_spread":0.2563617478097634,"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."}}