{"id":"W4381828051","doi":"10.1002/ese3.1481","title":"Environmental, economic, and social impact of five COP26 policies: A computable general equilibrium analysis for Canada","year":2023,"lang":"en","type":"article","venue":"Energy Science & Engineering","topic":"Energy, Environment, and Transportation Policies","field":"Energy","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Computable general equilibrium; Economics; Electricity; Greenhouse gas; Incentive; Consumption (sociology); Natural resource economics; Environmental pollution; Pollution; Pollutant; Index (typography); Environmental economics; Environmental policy; Welfare; Environmental science; Microeconomics; Environmental protection","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.001062098,0.0007440031,0.0009310228,0.001248832,0.001668669,0.001823835,0.001447902,0.001374875,0.00575637],"category_scores_gemma":[0.003428407,0.0004757502,0.001567921,0.001512603,0.001180057,0.0006784979,0.0007714491,0.001351001,0.000216886],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02734963,"about_ca_system_score_gemma":0.01909118,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9596685,"about_ca_topic_score_gemma":0.8983074,"domain_scores_codex":[0.9995093,0.0001083488,0.000008726412,0.0000470525,0.00008183056,0.0002447454],"domain_scores_gemma":[0.9986086,0.0007174538,0.0000824412,0.00004297473,0.0004559869,0.0000924734],"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":[0.00004298424,0.00004087885,0.001859654,0.00002937065,0.00002041618,0.00006806041,0.00002062802,0.9856482,0.00009259809,0.009818305,0.001137558,0.001221404],"study_design_scores_gemma":[0.00002991181,0.00002269167,0.001820861,0.00001069758,0.00002604607,0.000006606198,0.0000980277,0.9950517,0.00008119406,0.001914148,0.0009239388,0.00001420148],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8906165,0.000721404,0.02605446,0.001749319,0.00006753794,0.000292155,0.004986009,0.0002577206,0.07525493],"genre_scores_gemma":[0.9855939,0.0003685915,0.006213371,0.000095768,0.00001017378,0.0001006504,0.001012767,0.00003105624,0.006573821],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04033154,"threshold_uncertainty_score":0.1984364,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007282388611228428,"score_gpt":0.2269501016075543,"score_spread":0.2196677129963259,"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."}}