{"id":"W2593482350","doi":"10.15173/esr.v20i1.544","title":"Optimal Intervention Policies in International Emissions Trading Considering Ancillary Benefits of Carbon Abatement","year":2013,"lang":"en","type":"article","venue":"Energy Studies Review","topic":"Climate Change Policy and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Allowance (engineering); Subsidy; Incentive; Economics; Externality; Emissions trading; Carbon price; Intervention (counseling); Tariff; Greenhouse gas; Natural resource economics; International economics; Economic interventionism; Microeconomics; Market economy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002925197,0.0001245253,0.0005314821,0.0001691588,0.00003373774,0.00001330766,0.0001258889,0.00003406639,0.0003599877],"category_scores_gemma":[0.0001572414,0.0001335302,0.000122167,0.0001175087,0.00004016013,0.0001349981,0.0001386641,0.00005388771,0.00001423938],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000161774,"about_ca_system_score_gemma":0.00000412471,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001768473,"about_ca_topic_score_gemma":0.000247737,"domain_scores_codex":[0.9986907,0.00001217505,0.000883805,0.0002011591,0.00002340693,0.0001887914],"domain_scores_gemma":[0.9993766,0.0000504579,0.000361456,0.0001419449,0.0000339068,0.00003563283],"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":[0.0000352159,0.001091134,0.1868223,0.01345269,0.002911975,0.00001269326,0.01655828,0.006081238,0.0001527181,0.6181517,0.02023852,0.1344916],"study_design_scores_gemma":[0.007104831,0.0007163429,0.1535707,0.04798612,0.0002443941,0.00009199343,0.01584494,0.03667838,0.002914922,0.05299056,0.67723,0.004626806],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5183204,0.463516,0.00001761251,0.003039008,0.0004811547,0.000165838,0.00004778352,0.00001499983,0.0143972],"genre_scores_gemma":[0.6192569,0.3797981,0.0001819196,0.0004282018,0.00006896818,0.00009707961,0.0000119773,0.00001080145,0.0001460155],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6569915,"threshold_uncertainty_score":0.5445203,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1653385527574838,"score_gpt":0.3175147936038287,"score_spread":0.1521762408463449,"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."}}