{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002991254,0.000195924,0.0002628738,0.000101757,0.0002519527,0.00003081858,0.0001475099,0.00014143,0.0004766359],"category_scores_gemma":[0.00003802023,0.0002364226,0.00009286473,0.00004791427,0.0002354776,0.0004050602,0.00008133227,0.00007933741,0.0006340445],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002649916,"about_ca_system_score_gemma":0.000005221649,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002480868,"about_ca_topic_score_gemma":0.00001616577,"domain_scores_codex":[0.9986053,0.00001952558,0.0004305027,0.0006094462,0.00003576047,0.0002994722],"domain_scores_gemma":[0.9991766,0.00002516923,0.0003064342,0.0003857038,0.000001950263,0.0001041367],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007816877,0.0006368526,0.5308147,0.0001063338,0.0005241208,0.000008116614,0.004861067,0.004134433,0.006396125,0.383289,0.03268819,0.03575939],"study_design_scores_gemma":[0.0007743848,0.0002593092,0.778492,0.00003048291,0.00001947116,0.00000350922,0.00003362976,0.002179887,0.00124791,0.0290399,0.187537,0.000382414],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9216881,0.004222871,0.06257033,0.007315839,0.0006020367,0.0004104271,0.0002025686,0.00004893908,0.002938819],"genre_scores_gemma":[0.9926658,0.001871398,0.001779043,0.0005178279,0.00072061,0.00005581089,0.00003824331,0.00002875534,0.002322528],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3542491,"threshold_uncertainty_score":0.9641035,"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."}}