{"id":"W3004894492","doi":"10.1186/s40854-019-0164-y","title":"Nexus between foreign direct investment and economic growth in Bangladesh: an augmented autoregressive distributed lag bounds testing approach","year":2020,"lang":"en","type":"article","venue":"Financial Innovation","topic":"International Business and FDI","field":"Business, Management and Accounting","cited_by":141,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Distributed lag; Economics; Granger causality; Foreign direct investment; Unit root; Cointegration; Nexus (standard); Causality (physics); Econometrics; Autoregressive model; Gross domestic product; Macroeconomics; Monetary economics; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002149168,0.0001688058,0.0002112292,0.0002701848,0.0001357612,0.0002549152,0.0001342019,0.00008488705,0.00001902057],"category_scores_gemma":[0.0004115065,0.0001712904,0.00001726585,0.0009822039,0.00004289635,0.001228246,0.0001027781,0.0001265308,0.00001351742],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001025982,"about_ca_system_score_gemma":0.00005614077,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007753851,"about_ca_topic_score_gemma":0.00002663216,"domain_scores_codex":[0.9989346,0.000008752206,0.0003942231,0.0003280725,0.0001341847,0.0002001662],"domain_scores_gemma":[0.9993293,0.00002510572,0.0002980491,0.00007098573,0.0002643276,0.00001221881],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00006772134,0.00007557953,0.4155832,0.000148185,0.00001710511,0.000009689818,0.000133591,0.000481481,0.0002260758,0.5784043,0.00126986,0.003583175],"study_design_scores_gemma":[0.001019434,0.00003976663,0.8956018,0.00005534607,0.00002311775,8.064608e-7,0.00007528991,0.08109108,0.000106811,0.0181033,0.003550584,0.0003326887],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9732246,0.00001087072,0.002993403,0.0006887577,0.0001346065,0.0003126991,0.00005934288,0.000106682,0.02246898],"genre_scores_gemma":[0.9943423,4.387874e-7,0.0004146425,0.001764345,0.001538797,0.00004305343,0.001866915,0.00001944239,0.00001012021],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.560301,"threshold_uncertainty_score":0.6985021,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0448004043982352,"score_gpt":0.2349027866872937,"score_spread":0.1901023822890585,"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."}}