{"id":"W2259537637","doi":"10.2139/ssrn.1843543","title":"What Can We Learn from the EU ETS Experience? Recommendations for Effective Trading and Market Design","year":2011,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University; Wilfrid Laurier University","funders":"","keywords":"Business; Emissions trading; Industrial organization; Climate change","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":[0.02359831,0.001163546,0.001569571,0.001815363,0.001654531,0.01544084,0.004357102,0.01233752,0.03727766],"category_scores_gemma":[0.06226107,0.0004338703,0.001092424,0.002335995,0.002948395,0.0213724,0.003429257,0.008871431,0.009190545],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003530975,"about_ca_system_score_gemma":0.01521028,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009887975,"about_ca_topic_score_gemma":0.02195857,"domain_scores_codex":[0.9909951,0.004900104,0.0008038745,0.0004528207,0.001909673,0.0009384211],"domain_scores_gemma":[0.9596164,0.01981021,0.002165604,0.002019593,0.01137462,0.005013491],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000249743,0.0006723592,0.004335326,0.001789335,0.00009907169,0.0003975162,0.001204522,0.005118723,0.0005518866,0.1609108,0.5064124,0.3182583],"study_design_scores_gemma":[0.0003122284,0.0001930644,0.003773386,0.006130911,0.0001186794,0.0001806275,0.01216434,0.004565623,0.001086105,0.4322039,0.5391206,0.0001505517],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.003753765,0.01841075,0.01411834,0.9374636,0.006585184,0.0001418866,0.000774554,0.0005172385,0.01823472],"genre_scores_gemma":[0.2732134,0.1618152,0.2147634,0.2539469,0.01210682,0.001837453,0.003531925,0.0009640973,0.07782073],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03727766,"threshold_uncertainty_score":0.1248013,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09074864579581145,"score_gpt":0.2513456720881038,"score_spread":0.1605970262922923,"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."}}