{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005346414,0.0002410859,0.000187378,0.0008757614,0.0003711578,0.001441063,0.00009648081,0.0002368113,0.001209915],"category_scores_gemma":[0.002133693,0.00007129632,0.000187604,0.001171181,0.0003994074,0.0005884662,0.0006120119,0.0005920096,0.0001401555],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009214099,"about_ca_system_score_gemma":0.0009564505,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01514211,"about_ca_topic_score_gemma":0.01905027,"domain_scores_codex":[0.9997062,0.00008413578,0.00002634828,0.00002698351,0.00005161193,0.0001047437],"domain_scores_gemma":[0.9986805,0.0005086563,0.0004284603,0.00002908022,0.0001970262,0.0001562591],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002517379,0.0001290547,0.9708641,0.000107938,0.00003754833,0.001537875,0.0009823751,0.002217517,0.0004845966,0.00232615,0.0008792359,0.02018188],"study_design_scores_gemma":[0.000008736436,0.0001520875,0.9816353,0.0001940533,0.0000417634,0.0004605836,0.007228229,0.003698212,0.0007925796,0.0007689021,0.005006009,0.00001350467],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9925168,0.00150996,0.00006704773,0.000567364,0.0000357382,0.000006884019,0.000263162,0.000003761006,0.005029331],"genre_scores_gemma":[0.9979,0.001323974,0.00004151776,0.00002577147,0.00001326386,0.000003039125,0.000130381,9.54969e-7,0.000561114],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01514211,"threshold_uncertainty_score":0.03010798,"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."}}