{"id":"W2038292345","doi":"10.3138/cpp.39.supplement2.s53","title":"GHG Mitigation Policies and Employment: A CGE Analysis with Wage Rigidity and Application to Canada","year":2013,"lang":"en","type":"article","venue":"Canadian Public Policy","topic":"Climate Change Policy and Economics","field":"Economics, Econometrics and Finance","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computable general equilibrium; Payroll; Carbon tax; Revenue; Economics; Welfare; Greenhouse gas; Wage; Tax revenue; Payroll tax; Labour economics; Natural resource economics; Public economics; Microeconomics; Income tax; Finance; Market economy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.00125644,0.000903035,0.001936111,0.001422749,0.002409293,0.002189756,0.002805998,0.001724886,0.007411828],"category_scores_gemma":[0.003185909,0.0007352547,0.001956459,0.002992027,0.001689427,0.0007712017,0.001481267,0.002151876,0.0002910952],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02330572,"about_ca_system_score_gemma":0.02864315,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9876203,"about_ca_topic_score_gemma":0.9722483,"domain_scores_codex":[0.9993666,0.00009136307,0.00001575241,0.00007085777,0.00008427467,0.0003712137],"domain_scores_gemma":[0.9988621,0.0004146832,0.0001092792,0.00007749194,0.0003640496,0.0001723371],"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":[0.0001679322,0.0001247173,0.01115039,0.00006102623,0.0001150797,0.0002550723,0.00008545833,0.9579694,0.000306888,0.02195352,0.003580764,0.004229795],"study_design_scores_gemma":[0.0002626206,0.00006092921,0.01514602,0.00003470278,0.0001294415,0.000028522,0.000468623,0.9728341,0.0003069245,0.006287491,0.004355978,0.00008469522],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9332363,0.001919097,0.01326529,0.005136475,0.0001046215,0.0002798784,0.008829457,0.0003566399,0.03687228],"genre_scores_gemma":[0.9848468,0.0007641086,0.003630933,0.0002040152,0.00002573825,0.00005223557,0.001526009,0.00005660452,0.008893569],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02330572,"threshold_uncertainty_score":0.1690956,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0231801502551938,"score_gpt":0.2072018573269891,"score_spread":0.1840217070717954,"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."}}