{"id":"W3121634753","doi":"","title":"Developing Supra-European Emissions Trading Schemes: An Efficiency and International Trade Analysis","year":2007,"lang":"en","type":"preprint","venue":"MADOC (University of Mannheim)","topic":"Climate Change Policy and Economics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Emissions trading; Stylized fact; International economics; European union; Incentive; International trade; Business; Allowance (engineering); Economics; Computable general equilibrium; Industrial organization; Greenhouse gas; Microeconomics; Macroeconomics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007173315,0.0005264924,0.000991088,0.002024117,0.0006659501,0.003803625,0.00131943,0.001303367,0.005615327],"category_scores_gemma":[0.013823,0.0003413398,0.001417833,0.002592341,0.001766211,0.005647271,0.002364665,0.001086724,0.0004725827],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002907779,"about_ca_system_score_gemma":0.001459085,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002526504,"about_ca_topic_score_gemma":0.001431329,"domain_scores_codex":[0.9964229,0.001934901,0.0001683484,0.0003797367,0.0006953446,0.0003987276],"domain_scores_gemma":[0.9940905,0.002965225,0.001036401,0.001069964,0.0006972126,0.0001407232],"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":[0.0001416401,0.0002157269,0.01020711,0.0001675061,0.0001591613,0.0001386995,0.0002964637,0.2463977,0.002796386,0.6964604,0.0005584838,0.04246072],"study_design_scores_gemma":[0.0001284079,0.0003665916,0.01680344,0.0002069697,0.0002943882,0.0002307532,0.0007398523,0.4053336,0.01077389,0.5481962,0.01687478,0.00005117718],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5880177,0.001347749,0.3267755,0.001061961,0.00002692824,0.0002868359,0.0004283012,0.0001099435,0.0819451],"genre_scores_gemma":[0.9515408,0.0009435555,0.04321145,0.000131512,0.00002378772,0.000120311,0.0003398517,0.00005085125,0.003637761],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007173315,"threshold_uncertainty_score":0.03793657,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1728782452497206,"score_gpt":0.2768028318893217,"score_spread":0.1039245866396011,"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."}}