{"id":"W3155716985","doi":"10.5267/j.ac.2021.3.028","title":"The relationships between foreign direct investment, export and economic growth","year":2021,"lang":"en","type":"article","venue":"Accounting","topic":"International Business and FDI","field":"Business, Management and Accounting","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Foreign direct investment; Granger causality; Error correction model; Gross domestic product; Causality (physics); Incentive; Economics; Vector autoregression; Investment (military); International economics; International trade; Macroeconomics; Econometrics; Cointegration; Political science; Market economy","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":[0.0003482297,0.0001791863,0.0001178043,0.0007567219,0.0002394975,0.0008549115,0.0001368932,0.0001300122,0.002136444],"category_scores_gemma":[0.001510882,0.00007659574,0.0001473893,0.0009650532,0.0003021706,0.0005236265,0.0003486068,0.0003892113,0.0001567121],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009328591,"about_ca_system_score_gemma":0.001120351,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04715062,"about_ca_topic_score_gemma":0.05237414,"domain_scores_codex":[0.9998397,0.00003131085,0.00001539544,0.00003724629,0.00003354566,0.00004284455],"domain_scores_gemma":[0.9987944,0.0003859427,0.0004194055,0.00002938766,0.0002067914,0.000164085],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001480048,0.00002463586,0.9920079,0.00004056159,0.00002800425,0.0002066114,0.0003156035,0.0007449425,0.00008464853,0.001049445,0.0003601656,0.005122577],"study_design_scores_gemma":[0.000002140154,0.00003332115,0.9914938,0.0000562062,0.00002800277,0.0001321933,0.002021404,0.002224691,0.0001431402,0.0003761373,0.003482409,0.000006562012],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.988531,0.00101968,0.0002979786,0.0005970795,0.00002358978,0.000009049886,0.0009334392,0.000008183029,0.008579966],"genre_scores_gemma":[0.9968854,0.0005688865,0.0001070491,0.00001874684,0.000007872894,0.000004291385,0.00050434,0.000002012325,0.00190139],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04715062,"threshold_uncertainty_score":0.09375232,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03134559912489657,"score_gpt":0.2244482993179026,"score_spread":0.193102700193006,"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."}}