{"id":"W2794499995","doi":"10.5539/ep.v7n1p46","title":"Region EKC for Air Pollution: Evidence from China","year":2018,"lang":"en","type":"article","venue":"Environment and Pollution","topic":"Energy, Environment, Economic Growth","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Kuznets curve; Per capita; Econometrics; Panel data; China; Economics; Air quality index; Gross domestic product; Mathematics; Statistics; Geography; Economic growth; Meteorology; Population; Demography","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":[0.001547289,0.000364543,0.0004552312,0.001514442,0.000541392,0.001054982,0.0006660533,0.0003929693,0.003311296],"category_scores_gemma":[0.002404343,0.0002401901,0.001524793,0.002808373,0.0007211369,0.0007903388,0.001058016,0.0005617263,0.0003361576],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001445015,"about_ca_system_score_gemma":0.002593777,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1701126,"about_ca_topic_score_gemma":0.1226587,"domain_scores_codex":[0.99914,0.0001721381,0.00006161359,0.000235024,0.0001957182,0.0001954695],"domain_scores_gemma":[0.996304,0.0007106955,0.001212212,0.0004551543,0.0008849145,0.000432972],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009730109,0.00003733969,0.9888155,0.00008396041,0.0003808227,0.0003851349,0.0003478282,0.001309917,0.0001408088,0.001209013,0.001061865,0.006130459],"study_design_scores_gemma":[0.00001213537,0.0000243446,0.9958649,0.0000209333,0.0001705726,0.00006752761,0.000426832,0.001514854,0.0001006501,0.0002265932,0.001559035,0.00001170002],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9888959,0.003288356,0.000475925,0.001079943,0.00003107849,0.00001796316,0.001666532,0.0000237125,0.004520559],"genre_scores_gemma":[0.9972445,0.000841532,0.000065172,0.00008578421,0.00001953503,0.000005312099,0.000997485,0.000003561966,0.0007371962],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1701126,"threshold_uncertainty_score":0.3382449,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02910159945302594,"score_gpt":0.2011453573191777,"score_spread":0.1720437578661518,"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."}}