{"id":"W2082246950","doi":"10.5539/ibr.v2n4p100","title":"On effects of Foreign Direct Investment on Economic Growth","year":2009,"lang":"en","type":"article","venue":"International Business Research","topic":"International Business and FDI","field":"Business, Management and Accounting","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Foreign direct investment; Crowding out; Developing country; Economics; International economics; Investment (military); Monetary economics; Macroeconomics; Economic growth","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":[0.003368977,0.001504542,0.002068585,0.001553283,0.0008041358,0.002975048,0.0007829973,0.001620587,0.01863915],"category_scores_gemma":[0.007859892,0.0004863381,0.002873793,0.001941269,0.001444838,0.001799638,0.002193928,0.004619581,0.001985],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002006048,"about_ca_system_score_gemma":0.002671404,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03498004,"about_ca_topic_score_gemma":0.02549304,"domain_scores_codex":[0.9977826,0.0009969022,0.00006353005,0.0002989389,0.0001717027,0.0006862188],"domain_scores_gemma":[0.9855193,0.01160903,0.001119383,0.0004646099,0.0004163968,0.0008713293],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.00295003,0.001660758,0.3586614,0.001169078,0.004670808,0.007325799,0.001219135,0.393636,0.002145486,0.1350591,0.01672035,0.07478207],"study_design_scores_gemma":[0.001163678,0.004259648,0.362126,0.001126016,0.007839757,0.001856564,0.003780913,0.4664955,0.005580464,0.1030589,0.04221584,0.0004967473],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8812721,0.009217934,0.02460577,0.009373772,0.0007034977,0.0002232391,0.00609894,0.0007636024,0.06774121],"genre_scores_gemma":[0.9701455,0.005154698,0.0009585881,0.000350085,0.0001315094,0.00008262668,0.0009903316,0.00004844428,0.02213821],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03498004,"threshold_uncertainty_score":0.06955284,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03070726310661461,"score_gpt":0.3076910355938386,"score_spread":0.276983772487224,"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."}}