{"id":"W3107693149","doi":"10.3390/jrfm13110292","title":"The Environmental Kuznets Curve: A Semiparametric Approach with Cross-Sectional Dependence","year":2020,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Energy, Environment, Economic Growth","field":"Economics, Econometrics and Finance","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Kuznets curve; Econometrics; Estimator; Economics; Panel data; Nonparametric statistics; Parametric statistics; Semiparametric regression; Semiparametric model; Developing country; Mathematics; Statistics; Economic growth","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":[0.005241153,0.000454915,0.00112606,0.002089041,0.0003194615,0.001477282,0.001249052,0.0009805294,0.002314449],"category_scores_gemma":[0.02680198,0.000415371,0.001294597,0.001729819,0.001138048,0.002137237,0.001866393,0.001152306,0.0002405137],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005291293,"about_ca_system_score_gemma":0.0006105443,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002482647,"about_ca_topic_score_gemma":0.00139626,"domain_scores_codex":[0.9969102,0.001938714,0.0001346377,0.0004975842,0.0003364058,0.0001825077],"domain_scores_gemma":[0.9762455,0.01743618,0.002563069,0.002694072,0.0008514139,0.0002097604],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0001876562,0.000224631,0.1817903,0.0002843965,0.001168918,0.0007048364,0.0005962913,0.4464984,0.002052544,0.2647129,0.002127342,0.09965195],"study_design_scores_gemma":[0.00002384867,0.0001207758,0.04039948,0.0000446051,0.0001347448,0.0002759829,0.0002071619,0.8282655,0.001010976,0.1262278,0.003216794,0.00007217263],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1462189,0.0003804288,0.8495415,0.0003611502,0.00002169677,0.00006566218,0.00060402,0.0002155891,0.002591098],"genre_scores_gemma":[0.9536813,0.0003778297,0.04336194,0.00009513448,0.00005739858,0.0001370216,0.0008025533,0.00004593634,0.001440713],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005241153,"threshold_uncertainty_score":0.02771819,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01447953285286421,"score_gpt":0.1878711370401542,"score_spread":0.1733916041872899,"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."}}