{"id":"W1970902320","doi":"10.4236/ti.2013.44028","title":"Inter-Industry Productivity Spillovers from Japanese and US FDI in Mexico’s Manufacturing Sector","year":2013,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Productivity; Foreign direct investment; Upstream (networking); Investment (military); Manufacturing; Business; International trade; Economics; International economics; Economic geography; Industrial organization; Economic growth; Macroeconomics","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":[0.0008316186,0.0002635125,0.0002777009,0.001549659,0.000424913,0.001112597,0.0001431468,0.0002881877,0.005119402],"category_scores_gemma":[0.002757567,0.0001255965,0.000553693,0.001703448,0.0003062209,0.0007751058,0.001037319,0.0005178906,0.0003677219],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00112889,"about_ca_system_score_gemma":0.0009570317,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03857102,"about_ca_topic_score_gemma":0.03168166,"domain_scores_codex":[0.9996619,0.00006502317,0.00002065356,0.00004818895,0.00006065256,0.0001436425],"domain_scores_gemma":[0.997485,0.001095812,0.0006526856,0.0001157061,0.0004654673,0.0001852819],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009527482,0.0002308262,0.9398385,0.0003337206,0.0003715038,0.0007373924,0.001330208,0.004859138,0.00239012,0.004374768,0.001855511,0.04272557],"study_design_scores_gemma":[0.00002556892,0.00009083852,0.9929581,0.00006086855,0.0003281767,0.00008445049,0.001847174,0.001058797,0.0008938385,0.0007165802,0.001924523,0.00001109412],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9884562,0.0006455928,0.0002741927,0.0002519895,0.000008462954,0.00001469834,0.0005402877,0.00001090993,0.009797593],"genre_scores_gemma":[0.9966403,0.0006182579,0.0001723693,0.00006172989,0.00001514251,0.00001454279,0.0007801771,0.000001960696,0.001695608],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03857102,"threshold_uncertainty_score":0.07669306,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02876510734426372,"score_gpt":0.1886146847209128,"score_spread":0.159849577376649,"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."}}