{"id":"W3157845193","doi":"10.1016/j.jpolmod.2021.03.005","title":"Regional Computable General Equilibrium models: A review","year":2021,"lang":"en","type":"review","venue":"Journal of Policy Modeling","topic":"Fiscal Policy and Economic Growth","field":"Economics, Econometrics and Finance","cited_by":37,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Prince Edward Island; University of Saskatchewan","funders":"","keywords":"Computable general equilibrium; Economics; Popularity; General equilibrium theory; Public finance; Macroeconomics; Welfare; Policy analysis; Applied general equilibrium; Macro; Public economics; Econometrics; Computer science","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001480387,0.0005277772,0.004838805,0.000906838,0.0000728811,0.0001288673,0.0008122105,0.0003736833,0.00007769931],"category_scores_gemma":[0.0002767609,0.0005256538,0.002223365,0.0005236471,0.00004399035,0.0006007503,0.0002251978,0.0009348758,0.000138963],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006331882,"about_ca_system_score_gemma":0.0008640809,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001672373,"about_ca_topic_score_gemma":8.672156e-7,"domain_scores_codex":[0.9947788,0.00009032822,0.003928777,0.0004850685,0.00009846997,0.0006185974],"domain_scores_gemma":[0.996017,0.0001046792,0.002913203,0.0005159666,0.0001377558,0.0003113739],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001117761,0.0002582724,0.000001682457,0.06174216,0.001711383,0.00009271981,0.000223424,0.1008523,8.393052e-8,0.6083105,0.07184479,0.1549515],"study_design_scores_gemma":[0.0001951436,0.00003146449,1.627758e-8,0.02580299,0.0001744447,0.0005741839,0.000003665615,0.1647637,2.078353e-8,0.08098251,0.7270443,0.0004275825],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000007158161,0.9805278,0.006353454,0.001143744,0.0004834604,0.0002190078,0.0001284736,0.0000141111,0.01112283],"genre_scores_gemma":[0.00002416624,0.99095,0.002065031,0.001947962,0.004406576,0.00001117632,0.00004068725,0.0001085977,0.0004458038],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.6551995,"threshold_uncertainty_score":0.9997195,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2663827807935931,"score_gpt":0.3465861201682766,"score_spread":0.08020333937468349,"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."}}