{"id":"W4400252582","doi":"10.1080/15435075.2024.2350564","title":"Does carbon pricing policy improve energy efficiency? New evidence from Canadian provinces","year":2024,"lang":"en","type":"article","venue":"International Journal of Green Energy","topic":"Climate Change Policy and Economics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Yorkville University","funders":"","keywords":"Efficient energy use; Greenhouse gas; Carbon price; Energy consumption; Economics; Revenue; Natural resource economics; Consumption (sociology); Environmental economics; Energy policy; Public economics; Renewable energy; Engineering; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002604743,0.0003900744,0.0006855459,0.001562329,0.002289349,0.002496621,0.001324424,0.0006388926,0.005113943],"category_scores_gemma":[0.01240249,0.0002275726,0.001210887,0.005129802,0.001431484,0.0008712665,0.0008731551,0.001081377,0.0002551874],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05630289,"about_ca_system_score_gemma":0.1044778,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9974312,"about_ca_topic_score_gemma":0.9976169,"domain_scores_codex":[0.9970651,0.0003818453,0.0001311527,0.0002812357,0.001320155,0.0008205751],"domain_scores_gemma":[0.9877976,0.002944697,0.001285657,0.0006368752,0.006458422,0.0008768714],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002070331,0.0003545713,0.613225,0.003637439,0.001844592,0.0008801672,0.003506114,0.01684978,0.0009557069,0.05607204,0.08085956,0.2197447],"study_design_scores_gemma":[0.0001868116,0.00009595132,0.8881084,0.001277125,0.001328494,0.00006354946,0.004795515,0.003740716,0.001097159,0.003619489,0.09559222,0.00009450492],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6584488,0.07395404,0.002174008,0.05431922,0.0004274826,0.0001987912,0.02540422,0.0001491153,0.1849244],"genre_scores_gemma":[0.9739309,0.01722943,0.000554006,0.001768767,0.00005748904,0.00001343756,0.00219597,0.00003288457,0.004217136],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9436971,"threshold_uncertainty_score":0.4085079,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03274109349007551,"score_gpt":0.2544331916387718,"score_spread":0.2216920981486963,"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."}}