{"id":"W2970827223","doi":"10.5539/ijef.v11n9p67","title":"Foreign Direct Investment Flow to Africa: Does Natural Resources Matter？","year":2019,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"International Business and FDI","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Foreign direct investment; Inflow; Openness to experience; Natural resource; Resource (disambiguation); Natural (archaeology); Sample (material); Economics; Business; Panel data; International economics; Natural resource economics; Geography; Macroeconomics; Ecology; Biology","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":[0.0005708745,0.0001898522,0.0002020069,0.0008170852,0.0002705106,0.001318328,0.0001316273,0.0002571238,0.004619367],"category_scores_gemma":[0.003131817,0.00007366843,0.0002139279,0.001234136,0.0004765261,0.001332567,0.0004674176,0.0004223635,0.0002660927],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006176876,"about_ca_system_score_gemma":0.0008374102,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008053401,"about_ca_topic_score_gemma":0.00966257,"domain_scores_codex":[0.9997581,0.00006649643,0.00001474816,0.00004088557,0.00003541035,0.00008441871],"domain_scores_gemma":[0.9976932,0.001085405,0.0008531808,0.00003984834,0.0001654264,0.000162783],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001082525,0.00004846745,0.9539838,0.0002931974,0.0001918664,0.0005975701,0.001459532,0.001014285,0.0003502084,0.009364264,0.001735377,0.03085319],"study_design_scores_gemma":[0.00001048497,0.00006501537,0.968683,0.0004710583,0.000221208,0.0002438494,0.007759457,0.001745461,0.0005158271,0.004590634,0.01567938,0.00001468768],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9685148,0.007293368,0.0005438201,0.005020933,0.00008278774,0.00001855297,0.0007570321,0.000008473859,0.0177603],"genre_scores_gemma":[0.9965413,0.001955345,0.00007034891,0.0001241085,0.00003019071,0.000003991124,0.0001542418,0.00000210678,0.001118235],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008053401,"threshold_uncertainty_score":0.01601303,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007823927087415422,"score_gpt":0.189089050756315,"score_spread":0.1812651236688996,"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."}}