{"id":"W3089606157","doi":"10.9734/sajsse/2020/v8i130202","title":"Policy Mix and Non-Oil Output in Nigeria: The Case of Fiscal and Monetary Policies","year":2020,"lang":"en","type":"article","venue":"South Asian Journal of Social Studies and Economics","topic":"Fiscal Policy and Economic Growth","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Error correction model; Economics; Policy mix; Short run; Unit root; Fiscal policy; Order (exchange); Exchange rate; Money supply; Monetary economics; Monetary policy; Gross fixed capital formation; Capital (architecture); Macroeconomics; Econometrics; Cointegration; Gross domestic product; Finance","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003941946,0.0001624909,0.0007514415,0.0001395707,0.0002140222,0.00005367424,0.000106721,0.00008906285,0.000002249062],"category_scores_gemma":[0.0001177511,0.0001456348,0.0001037357,0.0000888923,0.0004237161,0.0001805275,0.0001456102,0.0002100833,0.000002361753],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004477921,"about_ca_system_score_gemma":0.00002000262,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001419024,"about_ca_topic_score_gemma":0.0001457381,"domain_scores_codex":[0.9987018,0.00001798685,0.0008414545,0.0001846229,0.00001074919,0.0002434459],"domain_scores_gemma":[0.9991249,0.00005383286,0.000616258,0.00006238174,0.00001481187,0.0001278356],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0003451062,0.00005929306,0.3881023,0.0005149248,0.001110462,0.0001090634,0.486911,0.00007151471,0.000003107392,0.1041545,0.001312692,0.01730603],"study_design_scores_gemma":[0.005229592,0.0007414211,0.4205443,0.00007828652,0.00009263711,0.0005651686,0.2977083,0.001191923,0.00001296792,0.2695889,0.003371702,0.0008747812],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9670909,0.004034983,0.000005770956,0.02528792,0.0001045375,0.00005298641,0.0001201668,0.000002190169,0.003300528],"genre_scores_gemma":[0.9966519,0.001709691,0.00006512942,0.0008715772,0.0006666777,0.000001800738,4.717976e-7,0.00001392463,0.0000187591],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1892027,"threshold_uncertainty_score":0.5938815,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03536803128780246,"score_gpt":0.2363136871369238,"score_spread":0.2009456558491213,"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."}}