{"id":"W4214879041","doi":"10.33423/jabe.v22i9.3679","title":"Foreign Direct Investment and Financial Development in Estimating International Capital Mobility","year":2020,"lang":"en","type":"article","venue":"Journal of Applied Business and Economics","topic":"International Business and FDI","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Foreign direct investment; Openness to experience; Panel data; Economics; Developing country; International economics; Investment (military); Capital (architecture); Monetary economics; Fixed investment; Financial capital; Capital formation; Macroeconomics; Human capital; Econometrics; 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":[0.004300345,0.0004491024,0.0004482212,0.002761689,0.0003325564,0.001142563,0.0003300479,0.0003768307,0.001642978],"category_scores_gemma":[0.01295263,0.000159579,0.0006287573,0.003719959,0.0009217194,0.001541851,0.001328127,0.0007873751,0.0002822942],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005859442,"about_ca_system_score_gemma":0.0006798332,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01076005,"about_ca_topic_score_gemma":0.01040783,"domain_scores_codex":[0.9981818,0.001209453,0.000110412,0.0001525009,0.0001318862,0.0002139567],"domain_scores_gemma":[0.9895118,0.00773942,0.001810118,0.0004197228,0.0002535039,0.0002655163],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001569675,0.00003580389,0.9294745,0.00009476927,0.0005369613,0.0002824872,0.0005148383,0.02790469,0.0001832763,0.009246727,0.0003194601,0.03124959],"study_design_scores_gemma":[0.00005467793,0.0002941623,0.8711417,0.0006505756,0.0004290672,0.0008750195,0.003280387,0.08954167,0.001873359,0.02171794,0.01005131,0.0000900483],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9784655,0.003525737,0.01177611,0.0003654257,0.00002689574,0.00003371864,0.000435582,0.00003119005,0.005339789],"genre_scores_gemma":[0.9969569,0.0004683249,0.001864027,0.00001402348,0.00001479147,0.00001449145,0.0002363847,0.000003434844,0.0004276947],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01076005,"threshold_uncertainty_score":0.02274263,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01404823027161112,"score_gpt":0.1893608398626951,"score_spread":0.175312609591084,"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."}}