{"id":"W1940708281","doi":"10.2139/ssrn.1408692","title":"Combining Rebates with Carbon Taxes: Optimal Strategies for Coping with Emissions Leakage and Tax Interactions","year":2009,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Climate Change Policy and Economics","field":"Economics, Econometrics and Finance","cited_by":39,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Carbon leakage; Leakage (economics); Carbon tax; Coping (psychology); Economics; Greenhouse gas; Monetary economics; Emissions trading; Psychology; Macroeconomics; Clinical psychology","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":[],"consensus_categories":[],"category_scores_codex":[0.0004559117,0.0001652279,0.0002977162,0.0001769659,0.0003326719,0.0002131586,0.0001148298,0.0000521581,0.00001518716],"category_scores_gemma":[0.00002271578,0.0001512507,0.00004954087,0.00009356438,0.00004755434,0.0004083307,0.00001359803,0.0006555127,0.000003131139],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000327416,"about_ca_system_score_gemma":0.0002484294,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001951599,"about_ca_topic_score_gemma":0.001575889,"domain_scores_codex":[0.9983178,0.00000709511,0.0003332816,0.0002379899,0.00001999481,0.001083832],"domain_scores_gemma":[0.9993761,0.00005919802,0.0003318533,0.0001170898,0.0000283851,0.0000873641],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002978141,0.00008702637,0.003977953,0.00002265144,0.0002212497,0.000003090576,0.002363515,0.001326957,0.00008939223,0.9905058,0.0001355428,0.0009690276],"study_design_scores_gemma":[0.004943776,0.004682214,0.001658199,0.0002495999,0.00008992502,0.001631884,0.03531859,0.01246309,0.0001515015,0.9280423,0.00964206,0.001126861],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9687801,0.002164854,0.01989059,0.003644002,0.00009201608,0.0002055274,0.00006402533,0.00003090723,0.005127958],"genre_scores_gemma":[0.9958208,0.002197875,0.0009231403,0.0002149971,0.0001689986,0.00001353319,0.00001024665,0.0000250674,0.000625402],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06246348,"threshold_uncertainty_score":0.6167825,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03559210307298306,"score_gpt":0.2563007007143896,"score_spread":0.2207085976414065,"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."}}