{"id":"W3116115472","doi":"10.5547/01956574.42.3.jber","title":"The Impact of a Revenue-Neutral Carbon Tax on GDP Dynamics: The Case of British Columbia","year":2020,"lang":"en","type":"article","venue":"The Energy Journal","topic":"Energy, Environment, and Transportation Policies","field":"Energy","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"Global Affairs Canada","funders":"","keywords":"Counterfactual thinking; Revenue; Carbon tax; Economics; Greenhouse gas; Monetary economics; Carbon fibers; Indirect tax; Econometrics; Natural resource economics; Tax reform; Public economics; Finance","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002947428,0.0001165186,0.0002072247,0.00001616268,0.0003336712,0.00007765992,0.0003932079,0.00005764668,0.00006577014],"category_scores_gemma":[0.00003664323,0.00008036241,0.0002823963,0.0001604378,0.0003031033,0.00004485757,0.00002174643,0.0002989652,9.785236e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006120875,"about_ca_system_score_gemma":0.00006308755,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2744251,"about_ca_topic_score_gemma":0.3703199,"domain_scores_codex":[0.9987542,0.00025275,0.0004272813,0.0001136095,0.0001954305,0.0002566979],"domain_scores_gemma":[0.998979,0.0001831135,0.0003984081,0.0002918258,0.00004155361,0.0001061389],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0004574084,0.0003388906,0.005298472,0.00003298769,0.001932432,0.001584853,0.00610021,0.8632104,0.003429868,0.04755472,0.02370562,0.04635417],"study_design_scores_gemma":[0.01657714,0.009439143,0.538046,0.001262417,0.002942649,0.03485458,0.02821861,0.110129,0.01557912,0.1524644,0.08680481,0.003682151],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946925,0.0004770484,0.00003121634,0.001164555,0.0001190387,0.00003868464,0.000182455,0.000008525714,0.003285949],"genre_scores_gemma":[0.9965471,0.0008483785,0.000008635229,0.0002335942,0.0002933204,0.000006256875,0.000006183577,0.00002906171,0.002027459],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7530814,"threshold_uncertainty_score":0.7304066,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008460555212366747,"score_gpt":0.2235125098705617,"score_spread":0.2150519546581949,"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."}}