{"id":"W4310345726","doi":"10.5539/eer.v12n2p26","title":"The Impact of General Government Final Consumption Expenditure- Economics Growth nexus for the Gambia","year":2022,"lang":"en","type":"article","venue":"Energy and Environment Research","topic":"Fiscal Policy and Economic Growth","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Economics; Aggregate expenditure; Consumption (sociology); Nexus (standard); Government spending; Investment (military); Productivity; Ordinary least squares; Macroeconomics; Aggregate demand; Capital expenditure; Government expenditure; Monetary economics; Public finance; Welfare; Econometrics; Monetary policy; Market economy; Finance","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":[0.0004571281,0.0002868686,0.0003235672,0.001216942,0.0002604245,0.002024984,0.0001514638,0.0002831352,0.002578166],"category_scores_gemma":[0.001251279,0.0001813173,0.0003510502,0.0014271,0.0003636556,0.0007719605,0.001000292,0.0008632639,0.000195485],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001262886,"about_ca_system_score_gemma":0.00151274,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04802286,"about_ca_topic_score_gemma":0.05456647,"domain_scores_codex":[0.9997646,0.00004961835,0.00001363454,0.00002695375,0.00003212838,0.0001130392],"domain_scores_gemma":[0.9995209,0.0001866617,0.0001342839,0.00002299724,0.00007277419,0.00006232654],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001192069,0.0002753004,0.8353142,0.000626269,0.0004922911,0.008223496,0.003200955,0.03500115,0.005020618,0.0369392,0.005861308,0.06785325],"study_design_scores_gemma":[0.00001823017,0.0001455735,0.9609242,0.0002076604,0.0001764163,0.000492955,0.007337198,0.01316334,0.001624005,0.002626135,0.01325523,0.00002898593],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9906225,0.0007243436,0.0002585039,0.0006033927,0.00001820683,0.000008716731,0.0009121142,0.0000139986,0.006838237],"genre_scores_gemma":[0.9964742,0.001022813,0.0001509258,0.0000424011,0.000007887837,0.000009849863,0.0007596628,0.000006417079,0.001525839],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04802286,"threshold_uncertainty_score":0.0954867,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0841143516185885,"score_gpt":0.2827484207021702,"score_spread":0.1986340690835817,"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."}}