{"id":"W2766131455","doi":"10.5539/ass.v13n11p47","title":"Determinants of Foreign Direct Investment in the Middle East Region: An Empirical Analysis","year":2017,"lang":"en","type":"article","venue":"Asian Social Science","topic":"International Business and FDI","field":"Business, Management and Accounting","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Openness to experience; Foreign direct investment; Middle East; Economics; International economics; Human capital; Panel data; Purchasing power parity; International trade; Investment (military); Sample (material); Purchasing power; Econometric model; Monetary economics; Macroeconomics; Exchange rate; Economic growth; Geography; Political science; Econometrics; Politics","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":[0.0006261282,0.000233817,0.000284236,0.001102512,0.0002695575,0.001075762,0.000256956,0.0002751902,0.003194028],"category_scores_gemma":[0.001197593,0.0001335338,0.000689443,0.00165183,0.0003028232,0.0005163079,0.0005586511,0.0005839304,0.0005194343],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006616461,"about_ca_system_score_gemma":0.0007426607,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02210384,"about_ca_topic_score_gemma":0.01615627,"domain_scores_codex":[0.9997535,0.00006549199,0.00001751862,0.00003074965,0.00003734565,0.00009536184],"domain_scores_gemma":[0.9987352,0.0005213777,0.0003358821,0.00005250932,0.0001173358,0.0002376398],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005096946,0.00008508884,0.9931762,0.00002532146,0.00008022883,0.0003674371,0.0003759864,0.0013546,0.0001526692,0.0006633583,0.0002589398,0.003409146],"study_design_scores_gemma":[0.00000381165,0.0000444455,0.9926924,0.00003621878,0.000082402,0.0001067995,0.002182264,0.003527267,0.0001442841,0.0001611806,0.001012432,0.000006541698],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985068,0.0002373812,0.0001001116,0.0001411765,0.000002573521,0.000004722298,0.0002237318,0.000002954411,0.0007803512],"genre_scores_gemma":[0.9989784,0.0002354968,0.00005964272,0.00001293602,0.000008117264,0.000003913706,0.0002986388,9.733189e-7,0.000401874],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02210384,"threshold_uncertainty_score":0.04395038,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08820479505752159,"score_gpt":0.3205590962154551,"score_spread":0.2323543011579335,"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."}}