{"id":"W2979365573","doi":"10.2139/ssrn.3398605","title":"英国脱欧的经济影响：基于全球CGE模型分析 (The Economic Effects of Brexit: A Computable General Equilibrium Analysis)","year":2019,"lang":"zh","type":"article","venue":"SSRN Electronic Journal","topic":"Regional Development and Policy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Surrey Memorial Hospital; Simon Fraser University; Government of British Columbia","funders":"","keywords":"Computable general equilibrium; Brexit; Economics; Mathematical economics; Economic analysis; Econometrics; Macroeconomics; Keynesian economics; International economics; Agricultural economics; European union","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":[0.001045202,0.000809221,0.001527345,0.0009731163,0.001090749,0.003223069,0.001329233,0.002643144,0.0230499],"category_scores_gemma":[0.006850468,0.0006227214,0.001869566,0.001450994,0.002994132,0.004937659,0.001708092,0.00239933,0.001015481],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002592864,"about_ca_system_score_gemma":0.002225915,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02140762,"about_ca_topic_score_gemma":0.008804561,"domain_scores_codex":[0.9995642,0.0001798508,0.00001252088,0.00009688966,0.0000624757,0.0000840567],"domain_scores_gemma":[0.998555,0.001087939,0.0001181467,0.00008272754,0.00009456976,0.00006165038],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002294828,0.00002460296,0.0004274169,0.0001003005,0.00003811093,0.00007323243,0.00008848948,0.24511,0.0002232265,0.7449246,0.003304205,0.005662751],"study_design_scores_gemma":[0.00003159019,0.00001956913,0.0005400843,0.00003229655,0.00002686748,0.00003517097,0.0000923232,0.2252229,0.0001525332,0.7705541,0.003272508,0.00002000155],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1197914,0.002607209,0.6902247,0.01643928,0.0005526741,0.0002002071,0.001748901,0.0006407605,0.1677948],"genre_scores_gemma":[0.9117904,0.002659178,0.04183927,0.0008456782,0.0002706037,0.0002559594,0.0002976198,0.0002799761,0.04176116],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0230499,"threshold_uncertainty_score":0.07710958,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006523012986523926,"score_gpt":0.2618982781270296,"score_spread":0.2553752651405057,"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."}}