{"id":"W2908091614","doi":"10.5539/ijef.v11n2p41","title":"Population Aging Can Aggravate Air Pollution: Evidence from China","year":2018,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Population ageing; China; Population; Air pollution; Consumption (sociology); Air quality index; Pollution; Natural resource economics; Energy consumption; Development economics; Demographic economics; Geography; Environmental health; Economics; Engineering; Medicine; Meteorology; Ecology","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":[0.001761851,0.0004629987,0.0004664282,0.001288504,0.000814896,0.0007406185,0.000556539,0.0005877595,0.002352136],"category_scores_gemma":[0.002789268,0.0002125592,0.001566881,0.002107344,0.0006692079,0.0005543695,0.0009192695,0.0005642411,0.0001802685],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001243657,"about_ca_system_score_gemma":0.002541088,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2091248,"about_ca_topic_score_gemma":0.1948694,"domain_scores_codex":[0.9993563,0.0001760321,0.0000562126,0.0001240561,0.000122534,0.0001647335],"domain_scores_gemma":[0.9958315,0.0009525076,0.001371566,0.0003957452,0.0008255409,0.0006231174],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009936874,0.000101261,0.9916059,0.00009792599,0.0003969019,0.0002740894,0.0004218367,0.0004242182,0.0000823239,0.0003993632,0.0009713381,0.005125416],"study_design_scores_gemma":[0.00002029542,0.00006693623,0.9965076,0.00004005175,0.0004108936,0.00004174442,0.0005301936,0.0008311672,0.00009644297,0.0001704603,0.001274174,0.000009995221],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9935192,0.002135157,0.0002144246,0.001648751,0.00003156778,0.00002049376,0.0008392048,0.000007273591,0.001583822],"genre_scores_gemma":[0.9972516,0.001242127,0.00006385586,0.000277657,0.00003928085,0.000007206105,0.0007007204,0.000001625702,0.0004160623],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2091248,"threshold_uncertainty_score":0.4158152,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03450924400479526,"score_gpt":0.2944480614278297,"score_spread":0.2599388174230344,"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."}}