{"id":"W1558895953","doi":"","title":"Microsimulation, CGE and macro modelling for transition and developing economies","year":2004,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Fiscal Policy and Economic Growth","field":"Economics, Econometrics and Finance","cited_by":77,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Computable general equilibrium; Microsimulation; Economics; Macro; Welfare; Developing country; Macroeconomics; Economic growth; Engineering; Computer science; Market economy","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":[0.000988748,0.0006558348,0.0009427637,0.0008061701,0.0003449588,0.001190486,0.0007828328,0.00103673,0.003352336],"category_scores_gemma":[0.004457008,0.0004142383,0.001005441,0.001314407,0.001107781,0.001562358,0.001245811,0.001470623,0.0003401223],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001300271,"about_ca_system_score_gemma":0.0008830976,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01351192,"about_ca_topic_score_gemma":0.00928193,"domain_scores_codex":[0.999705,0.0001696806,0.0000172642,0.00004149868,0.00003634702,0.00003011433],"domain_scores_gemma":[0.9984757,0.001126187,0.0001667816,0.00008579549,0.00007709443,0.00006833785],"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":[0.00001499711,0.00001749352,0.001053313,0.00006846814,0.00006501991,0.00005606634,0.00007368178,0.6894437,0.0001097164,0.2997119,0.00183616,0.007549391],"study_design_scores_gemma":[0.000005722763,0.00001078285,0.0004850292,0.00002301056,0.00001582085,0.00002074048,0.00003834765,0.6761271,0.00005651343,0.3192773,0.003927371,0.00001217668],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05779343,0.01168154,0.9022366,0.005967666,0.0002909962,0.00007143433,0.001204856,0.0003650785,0.02038844],"genre_scores_gemma":[0.9040304,0.01360428,0.06508642,0.0004175034,0.0003683956,0.000351719,0.0006755729,0.000181787,0.01528402],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01351192,"threshold_uncertainty_score":0.02686656,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07440385993462661,"score_gpt":0.2947481995639501,"score_spread":0.2203443396293235,"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."}}