{"id":"W3109632046","doi":"10.5539/ijef.v12n12p81","title":"The Impact of FDI on Economic Growth in Case of Romania","year":2020,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"International Business and FDI","field":"Business, Management and Accounting","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Foreign direct investment; Openness to experience; Economics; Cointegration; Gross domestic product; Causality (physics); Granger causality; Error correction model; International economics; Monetary economics; Investment (military); Real gross domestic product; Macroeconomics; International trade; Econometrics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001646948,0.00006803551,0.0001554707,0.0001116959,0.00002032708,0.00006100118,0.0002316283,0.00002106611,0.00001588078],"category_scores_gemma":[0.0000560378,0.00004983999,0.00009530797,0.00003296366,0.0000411675,0.0003750099,0.00005361863,0.00007131369,0.000004523299],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004446629,"about_ca_system_score_gemma":0.00003757818,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007252744,"about_ca_topic_score_gemma":0.00008594451,"domain_scores_codex":[0.999396,0.000002591787,0.0004329961,0.00007059729,0.0000373651,0.00006043964],"domain_scores_gemma":[0.9990206,0.00005754248,0.0006866836,0.00003672016,0.0001930938,0.000005374143],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005907847,0.00007781578,0.03498793,0.00001490792,0.000153732,0.0001533283,0.00007909763,0.03586507,0.00004297977,0.9190668,0.0006222279,0.008345259],"study_design_scores_gemma":[0.006251181,0.0005155946,0.3641454,0.0003519572,0.0000492359,0.0007347791,0.0004084928,0.496462,0.0006019811,0.1066539,0.02326129,0.0005642654],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956623,0.00007838583,0.00001892834,0.002261872,0.0003072523,0.00003076037,0.00001475019,6.595682e-7,0.001625067],"genre_scores_gemma":[0.9987076,0.0005858795,0.00002816592,0.000187102,0.0004756272,5.760227e-7,0.000001263746,0.000005904362,0.000007916015],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.812413,"threshold_uncertainty_score":0.2032416,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01421680253921181,"score_gpt":0.233043487551001,"score_spread":0.2188266850117892,"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."}}