{"id":"W2056048413","doi":"10.1016/j.eneco.2010.01.003","title":"Impacts of climate policy on the competitiveness of Canadian industry: How big and how to mitigate?","year":2010,"lang":"en","type":"article","venue":"Energy Economics","topic":"Climate Change Policy and Economics","field":"Economics, Econometrics and Finance","cited_by":56,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computable general equilibrium; Climate policy; Greenhouse gas; Government (linguistics); Climate change; Natural resource economics; Economics; Carbon tax; Business; Energy policy; Policy analysis; Public economics; Environmental economics; Renewable energy; Macroeconomics; Political science; Engineering","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":[0.00326923,0.0007891216,0.0008370564,0.00202838,0.00462949,0.007983201,0.001194114,0.00356161,0.007207491],"category_scores_gemma":[0.01143587,0.0002695593,0.001013967,0.004289998,0.003613042,0.004625681,0.001861556,0.003820415,0.0003263328],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07660035,"about_ca_system_score_gemma":0.1448599,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9821281,"about_ca_topic_score_gemma":0.9877558,"domain_scores_codex":[0.9972606,0.0003703569,0.00004818262,0.000152784,0.0008807059,0.001287388],"domain_scores_gemma":[0.9914742,0.001604468,0.0006131374,0.000124925,0.005065965,0.001117322],"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":[0.0006965221,0.0003328222,0.1604504,0.001529489,0.001082875,0.0006359066,0.002242327,0.06369595,0.001408334,0.3721725,0.2441183,0.1516346],"study_design_scores_gemma":[0.0001443051,0.0001507528,0.41955,0.001621245,0.001672752,0.000132107,0.02600433,0.03959751,0.002653321,0.2375599,0.2702709,0.0006429663],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.216758,0.06154749,0.002721,0.5784101,0.002418993,0.00008848241,0.005441227,0.0001493293,0.1324654],"genre_scores_gemma":[0.9516869,0.02913469,0.00081179,0.009792884,0.0009078275,0.00001838344,0.0005630226,0.00003053021,0.007053983],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07660035,"threshold_uncertainty_score":0.5557771,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05147060262950234,"score_gpt":0.2187410361029785,"score_spread":0.1672704334734761,"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."}}