{"id":"W2387997563","doi":"","title":"An Analysis of the Influences of FDI on the Regional Income Gap","year":2013,"lang":"en","type":"article","venue":"International Business Research","topic":"Regional Economic and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Foreign direct investment; Human capital; Economics; Panel data; Investment (military); Foreign capital; Fixed asset; Demographic economics; International economics; Econometrics; Economic growth; Macroeconomics; Production (economics)","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":[0.0006304315,0.0001080943,0.0002333772,0.000710859,0.0002536843,0.0006192907,0.0002158232,0.0001769207,0.002194312],"category_scores_gemma":[0.002633342,0.00006801186,0.0005931462,0.001073434,0.0002532848,0.0004026721,0.0005507725,0.0004301922,0.0002186178],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008007354,"about_ca_system_score_gemma":0.0008858565,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05165369,"about_ca_topic_score_gemma":0.03926795,"domain_scores_codex":[0.9995629,0.0001342223,0.00001711713,0.0000599639,0.00006334452,0.0001623122],"domain_scores_gemma":[0.9979159,0.0008835548,0.0005444625,0.00009671734,0.0003486857,0.000210691],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001988204,0.0000469822,0.9774367,0.0000321878,0.0001119726,0.0004599896,0.0003687509,0.0044676,0.0005623002,0.002880229,0.000425139,0.01300928],"study_design_scores_gemma":[0.000004608097,0.00004341739,0.9924758,0.00001171882,0.00007611062,0.00007892861,0.0007306139,0.00498605,0.0003567189,0.0003204117,0.0009104767,0.000005131363],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968202,0.0002747153,0.0002292475,0.0001534642,0.000003469479,0.000002827718,0.0003011798,0.000005739,0.002209215],"genre_scores_gemma":[0.9995358,0.00006197776,0.00003864395,0.000005627744,0.000002702746,0.000001075949,0.0001373937,0.000001119859,0.0002156443],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05165369,"threshold_uncertainty_score":0.1027061,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.134456598320853,"score_gpt":0.3356708084872852,"score_spread":0.2012142101664322,"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."}}