{"id":"W4406954485","doi":"10.1177/0958305x241310195","title":"Disentangling the effects of nonrenewable energy consumption on CO <sub>2</sub> emissions in Canada: The moderating role of construction and manufacturing","year":2025,"lang":"en","type":"article","venue":"Energy & Environment","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Non-renewable resource; Greenhouse gas; Consumption (sociology); Energy consumption; Natural resource economics; Economics; Environmental science; Renewable energy; Environmental economics; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004666216,0.0004547659,0.000336893,0.0005178104,0.0005422705,0.001065596,0.0005940138,0.0002959856,0.002118526],"category_scores_gemma":[0.001093024,0.000185705,0.0009130664,0.001232286,0.0005107513,0.0003961967,0.0006535504,0.0006565514,0.0001458242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01295174,"about_ca_system_score_gemma":0.02504059,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9851274,"about_ca_topic_score_gemma":0.9854442,"domain_scores_codex":[0.9995984,0.00003530907,0.00001369521,0.00006719861,0.0001261105,0.0001592623],"domain_scores_gemma":[0.9993151,0.0001155076,0.0001159477,0.00003567166,0.0003361417,0.00008154794],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002257897,0.0001102154,0.9291913,0.000177993,0.0005144586,0.0005391701,0.0004930585,0.02552148,0.002708331,0.007085767,0.002552494,0.03087993],"study_design_scores_gemma":[0.00001289247,0.0000356911,0.9672629,0.000041397,0.0002633157,0.00003682136,0.001057427,0.02155323,0.002049063,0.0008592395,0.006796525,0.0000314053],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9813856,0.001699497,0.002339922,0.002012963,0.00002489865,0.00004054606,0.004353165,0.00008509317,0.008058169],"genre_scores_gemma":[0.9952755,0.0006004851,0.0005735837,0.0001001857,0.000005362289,0.000007586881,0.001110876,0.000009805793,0.002316737],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01487261,"threshold_uncertainty_score":0.09397191,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002531450450191001,"score_gpt":0.1782807985496352,"score_spread":0.1757493480994442,"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."}}