{"id":"W4289522367","doi":"10.1177/0958305x221112910","title":"Does nuclear energy consumption mitigate carbon emissions in leading countries by nuclear power consumption? Evidence from quantile causality approach","year":2022,"lang":"en","type":"article","venue":"Energy & Environment","topic":"Energy, Environment, Economic Growth","field":"Economics, Econometrics and Finance","cited_by":77,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quantile; Nuclear power; Energy consumption; Estimator; Econometrics; Granger causality; Consumption (sociology); Economics; Causality (physics); Greenhouse gas; Natural resource economics; Statistics; Engineering; Nuclear physics; Mathematics; Physics","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":[0.001212008,0.0001781539,0.0002773521,0.000973791,0.0002317982,0.0009203355,0.0002673385,0.0003341257,0.003588606],"category_scores_gemma":[0.004522196,0.0001010883,0.0007530711,0.001871584,0.0004442639,0.0006629204,0.0008019193,0.0006829519,0.0004137912],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003339394,"about_ca_system_score_gemma":0.000592523,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01960249,"about_ca_topic_score_gemma":0.01354749,"domain_scores_codex":[0.9994112,0.0002528866,0.00003603443,0.0001082554,0.00005671395,0.0001349159],"domain_scores_gemma":[0.9965668,0.001304137,0.001365632,0.0002571077,0.0003444362,0.0001619001],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001174145,0.00004819097,0.9673266,0.00008811976,0.0003040667,0.0002362085,0.000234861,0.006742429,0.0001610669,0.004705728,0.002653149,0.01738207],"study_design_scores_gemma":[0.00002317113,0.00007940007,0.9704154,0.00009605466,0.000324946,0.00009747225,0.002219654,0.01201319,0.0006634272,0.005864574,0.008180616,0.00002223181],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9829057,0.002294954,0.003425991,0.001802329,0.00005478963,0.00002087118,0.003630524,0.00004556299,0.005819256],"genre_scores_gemma":[0.9982053,0.0003718606,0.0001712856,0.00007840517,0.00001524402,0.000004595576,0.0008531662,0.000004457784,0.0002957403],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01960249,"threshold_uncertainty_score":0.03897673,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02262067477606365,"score_gpt":0.2044349799732783,"score_spread":0.1818143051972146,"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."}}