{"id":"W2569486803","doi":"10.1596/1813-9450-7910","title":"Optimal Allocation of Natural Resource Surpluses in a Dynamic Macroeconomic Framework: A DSGE Analysis with Evidence from Uganda","year":2016,"lang":"en","type":"book","venue":"World Bank, Washington, DC eBooks","topic":"Natural Resources and Economic Development","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Economics; Fiscal policy; Sovereign wealth fund; Dynamic stochastic general equilibrium; Revenue; Dutch disease; Natural resource; Collateral; Public capital; Public finance; Macroeconomics; Finance; Monetary policy; Exchange rate; Foreign direct investment","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001550212,0.0006837536,0.001384114,0.0008049288,0.0005824335,0.00307592,0.0007465147,0.001253942,0.003621178],"category_scores_gemma":[0.006005153,0.00083498,0.001222416,0.001022014,0.0008874823,0.002407458,0.001151887,0.002002743,0.0003418157],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002130353,"about_ca_system_score_gemma":0.001360916,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03392754,"about_ca_topic_score_gemma":0.02569869,"domain_scores_codex":[0.9995893,0.0002436431,0.00001842992,0.00006385094,0.00002134392,0.00006347561],"domain_scores_gemma":[0.9981376,0.001389072,0.0002073171,0.00007365139,0.0001166479,0.00007578048],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002391474,0.00006092942,0.01113203,0.0001788231,0.0002281255,0.0005442211,0.0003172542,0.9106736,0.0003585381,0.06625929,0.003017242,0.006990805],"study_design_scores_gemma":[0.0001686385,0.0001302168,0.01328467,0.0001390116,0.0002162775,0.0001036388,0.0009921808,0.9046536,0.0003347861,0.07441842,0.005457798,0.0001006816],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9566982,0.001983047,0.02473105,0.00159353,0.00004468696,0.00007387166,0.001639661,0.0001150127,0.01312096],"genre_scores_gemma":[0.9904935,0.001218672,0.004206171,0.00008332052,0.00001671687,0.00006364599,0.0007948396,0.00004942075,0.003073728],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03392754,"threshold_uncertainty_score":0.06746018,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01613632931129457,"score_gpt":0.223169593408586,"score_spread":0.2070332640972914,"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."}}