{"id":"W1997162279","doi":"10.5539/ibr.v5n10p100","title":"Foreign Direct Investment and Economic Growth: Evidence from Malaysia","year":2012,"lang":"en","type":"article","venue":"International Business Research","topic":"International Business and FDI","field":"Business, Management and Accounting","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Foreign direct investment; Granger causality; Cointegration; Gross domestic product; Economics; Vector autoregression; Error correction model; Product (mathematics); Econometrics; Real gross domestic product; Monetary economics; Investment (military); Causality (physics); International economics; Macroeconomics; Mathematics","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":[0.0004721381,0.0002984068,0.0001962977,0.001385275,0.0001636217,0.0008364067,0.0001653709,0.0002295411,0.001775141],"category_scores_gemma":[0.001645518,0.0001545068,0.0003145561,0.002308793,0.0003530498,0.0005680675,0.0004914878,0.0004907907,0.0003717749],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005130977,"about_ca_system_score_gemma":0.0007717344,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02592044,"about_ca_topic_score_gemma":0.03113299,"domain_scores_codex":[0.9998114,0.00004374396,0.00002644389,0.00003274763,0.00004565044,0.00004010108],"domain_scores_gemma":[0.9973616,0.0007833768,0.001262457,0.00008536508,0.0002665127,0.0002406647],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001361558,0.00005170432,0.9808857,0.0002534336,0.0001377184,0.0005034573,0.0003231276,0.0008780044,0.0002160952,0.0006789964,0.001015961,0.01491967],"study_design_scores_gemma":[0.000008008469,0.00005450465,0.9940963,0.0001686831,0.00009019397,0.000299302,0.0009202961,0.0008202552,0.0003371477,0.0001559655,0.003038934,0.0000103172],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9877873,0.005976897,0.00009412739,0.0006876922,0.0000139613,0.000004288235,0.001224483,0.00000665264,0.004204493],"genre_scores_gemma":[0.9936323,0.004867737,0.00006079682,0.00004520071,0.0000174174,0.000001842822,0.0007630428,0.000001739329,0.0006100409],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02592044,"threshold_uncertainty_score":0.05153918,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08413511325985393,"score_gpt":0.3289521016850167,"score_spread":0.2448169884251628,"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."}}