{"id":"W3134885174","doi":"10.3390/jrfm14030093","title":"Environmental Kuznets Curve Hypothesis on CO2 Emissions: Evidence for China","year":2021,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Energy, Environment, Economic Growth","field":"Economics, Econometrics and Finance","cited_by":99,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Kuznets curve; Economics; Distributed lag; Openness to experience; Econometrics; Energy consumption; China; Greenhouse gas; Per capita; Gross domestic product; Consumption (sociology); Quantile regression; Natural resource economics; Macroeconomics; Geography; Population","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.005111535,0.0003742264,0.0007500077,0.00229554,0.0007023916,0.001604883,0.001252229,0.0009499187,0.008807108],"category_scores_gemma":[0.02266626,0.0002097257,0.001890791,0.003734916,0.003754335,0.00215772,0.001348974,0.001039388,0.0007918714],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00105712,"about_ca_system_score_gemma":0.001646575,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01519701,"about_ca_topic_score_gemma":0.004179891,"domain_scores_codex":[0.9972766,0.0005890396,0.0001874874,0.0009011897,0.0006136216,0.0004321264],"domain_scores_gemma":[0.9668201,0.01880828,0.007169908,0.003091526,0.002899376,0.001210795],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002710654,0.0001030327,0.94339,0.0001466805,0.0003191541,0.000904294,0.0009558779,0.005583358,0.0003367552,0.0236224,0.001527901,0.02283941],"study_design_scores_gemma":[0.0000564468,0.0001856122,0.9447979,0.00009612102,0.0002802701,0.0003783377,0.002086079,0.0253517,0.0006419767,0.0220708,0.004007333,0.00004741932],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.975879,0.001436306,0.006153831,0.002339276,0.00005737596,0.00004876173,0.0005972643,0.00009647854,0.01339181],"genre_scores_gemma":[0.9986079,0.0003221861,0.0002334388,0.00008853091,0.00004233092,0.00001034985,0.0003181414,0.00001217838,0.000365013],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01519701,"threshold_uncertainty_score":0.03021711,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02750120541122812,"score_gpt":0.2121314045663348,"score_spread":0.1846301991551067,"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."}}