{"id":"W3111168521","doi":"10.3968/11897","title":"Effect of Foreign Aids on Economic Growth in Nigeria","year":2020,"lang":"en","type":"article","venue":"Canadian social science","topic":"Economic Growth and Development","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Multicollinearity; Disequilibrium; Foreign direct investment; Unit root test; Granger causality; Ordinary least squares; Error correction model; Heteroscedasticity; Economics; Econometrics; Variables; Unit root; Gross domestic product; Test (biology); Augmented Dickey–Fuller test; Null hypothesis; Johansen test; Productivity; Government (linguistics); Statistics; Regression analysis; Cointegration; Macroeconomics; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005746677,0.00008201205,0.0001552249,0.0001741452,0.0001307967,0.00006717665,0.0009567342,0.00003561575,0.00001737992],"category_scores_gemma":[0.00008199242,0.00008351152,0.00003290598,0.0004848558,0.0001675095,0.0002887829,0.00007097318,0.00006817698,0.0000896624],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005361547,"about_ca_system_score_gemma":0.001097529,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002227612,"about_ca_topic_score_gemma":0.002345215,"domain_scores_codex":[0.9990068,0.00003344765,0.0001607488,0.0003259159,0.00009749412,0.0003756061],"domain_scores_gemma":[0.9993683,0.0000483733,0.0000469442,0.00009891971,0.0000159148,0.0004215639],"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":[0.00001662014,0.00000636929,0.2413112,0.00002877321,0.000004913832,0.0000258277,0.004679997,0.00001944803,0.0003050783,0.7172388,0.001454726,0.03490821],"study_design_scores_gemma":[0.01016473,0.009212882,0.5443164,0.0002137165,0.00001974341,0.00002210521,0.002735922,0.03931529,0.3198335,0.05018822,0.01874792,0.005229613],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8131576,0.00000725348,0.0004663628,0.0009556578,0.000259718,0.0001740877,0.000006285493,0.00002115109,0.1849519],"genre_scores_gemma":[0.9984401,7.664433e-7,0.000303687,0.001189398,0.00004872187,0.000006608976,3.987954e-7,0.00000286089,0.000007404475],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6670506,"threshold_uncertainty_score":0.3405501,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007971322469691696,"score_gpt":0.2069932705397932,"score_spread":0.1990219480701015,"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."}}