{"id":"W2617374616","doi":"","title":"Trade, Education, Governance and Distance: Impact on Technology Diffusion and Productivity Growth in Asia and LAC","year":2017,"lang":"en","type":"preprint","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; Openness to experience; East Asia; Productivity; Economics; Corporate governance; Recession; Development economics; International trade; International economics; Geography; Economic growth; China; Macroeconomics","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":[0.0004803542,0.000209215,0.0002505857,0.001133808,0.0003436011,0.001840745,0.0001594472,0.0002225897,0.003079081],"category_scores_gemma":[0.001990709,0.00006864625,0.000430554,0.002604616,0.0008701269,0.001281168,0.001700135,0.0005675585,0.000284839],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00138191,"about_ca_system_score_gemma":0.0008854762,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0363728,"about_ca_topic_score_gemma":0.04001654,"domain_scores_codex":[0.9997509,0.00004421575,0.00001668,0.00004261597,0.00004352709,0.0001020801],"domain_scores_gemma":[0.9978914,0.0003891349,0.0009399946,0.00007953963,0.0002979902,0.0004019375],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001251376,0.00004237027,0.9765394,0.0000512669,0.0001003129,0.0003319574,0.001775302,0.001920218,0.0006090793,0.003987767,0.0004197702,0.01409746],"study_design_scores_gemma":[0.000004606605,0.00003842136,0.989972,0.0000441267,0.00004867672,0.00009136378,0.003759769,0.001004461,0.0004045893,0.001123461,0.003499769,0.000008656169],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9931839,0.0007572714,0.0001404987,0.0004415684,0.000004557561,0.000001880231,0.0002694349,0.000005569223,0.005195335],"genre_scores_gemma":[0.9984333,0.0003717569,0.00004779322,0.00002424599,0.000009544133,0.000001516686,0.0001811995,0.000002392566,0.0009282026],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0363728,"threshold_uncertainty_score":0.07232213,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02272492651875155,"score_gpt":0.2867113805475996,"score_spread":0.2639864540288481,"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."}}