{"id":"W3162569253","doi":"10.3968/12033","title":"Foreign Direct Investment and Employment Creation in Nigeria","year":2021,"lang":"en","type":"article","venue":"Canadian social science","topic":"Fiscal Policy and Economic Growth","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Openness to experience; Foreign direct investment; Exchange rate; Government (linguistics); Granger causality; Investment (military); Economics; International economics; Government expenditure; Causality (physics); Monetary economics; Unit root test; Business; Cointegration; Macroeconomics; Public finance; Political science","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":[0.0002630048,0.000127173,0.0001230159,0.000680638,0.0004169263,0.0009907797,0.000100243,0.0002046895,0.002313101],"category_scores_gemma":[0.0007095439,0.0000812453,0.0001931454,0.0008977999,0.0002285178,0.0004203758,0.0005371312,0.0004185361,0.0002253203],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006552365,"about_ca_system_score_gemma":0.0007270374,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01214249,"about_ca_topic_score_gemma":0.02786323,"domain_scores_codex":[0.9998882,0.00001858642,0.000011695,0.00001325629,0.00002002807,0.00004829023],"domain_scores_gemma":[0.9993609,0.0001327913,0.0003028178,0.0000116302,0.00005801046,0.0001338344],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007607883,0.00007403993,0.9838351,0.00007461495,0.00003180955,0.0008027238,0.0007574903,0.0006481161,0.0002048272,0.001859954,0.0004505448,0.01118468],"study_design_scores_gemma":[0.000003361315,0.00005301798,0.990616,0.0001808649,0.00002254814,0.0003407583,0.003378836,0.0006086236,0.0001555027,0.0004277752,0.004206299,0.000006401885],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9914982,0.002591833,0.00004647749,0.0004719903,0.00002584243,0.000003207262,0.0002668574,0.000001618186,0.005093953],"genre_scores_gemma":[0.9970029,0.001421034,0.00002635121,0.00001839374,0.0000114406,0.000001970804,0.000122993,8.72165e-7,0.00139399],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01214249,"threshold_uncertainty_score":0.02414358,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02850093212986531,"score_gpt":0.2274815985109596,"score_spread":0.1989806663810943,"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."}}