{"id":"W4392109482","doi":"10.1007/s11356-024-32489-6","title":"An interregional environmental assessment framework: revisiting environmental Kuznets curve in China","year":2024,"lang":"en","type":"article","venue":"Environmental Science and Pollution Research","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Acadia University","funders":"National Social Science Fund of China; National Natural Science Foundation of China","keywords":"Kuznets curve; Pollution haven hypothesis; Sustainable development; China; Environmental governance; Sustainability; Consumption (sociology); Per capita; Production (economics); Economics; Economic geography; Natural resource economics; Geography; Corporate governance; Economic growth; Macroeconomics; Population; Political science; Ecology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002249257,0.0006023906,0.0007312869,0.005497739,0.00237284,0.003925494,0.001497656,0.000735242,0.002306766],"category_scores_gemma":[0.003324181,0.0002512546,0.000703207,0.008851178,0.001570477,0.003388844,0.0035022,0.0007466991,0.00009488657],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01065171,"about_ca_system_score_gemma":0.01363888,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2978392,"about_ca_topic_score_gemma":0.3122129,"domain_scores_codex":[0.9986488,0.0004398414,0.00009961773,0.0001920177,0.0003246111,0.0002950217],"domain_scores_gemma":[0.9987713,0.0001662344,0.0001336988,0.00009299543,0.0006712319,0.00016454],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0001140715,0.0001147267,0.1599265,0.0004570083,0.0002644069,0.001506919,0.00389569,0.3071779,0.001092487,0.3792694,0.005742922,0.1404379],"study_design_scores_gemma":[0.0000436567,0.0001190734,0.2225205,0.0004054592,0.0002970216,0.0003714371,0.01469055,0.5541857,0.0009551523,0.1635858,0.04266908,0.0001564946],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8878598,0.002014782,0.04253203,0.003345386,0.00007340286,0.0002484191,0.001344295,0.0002031279,0.06237859],"genre_scores_gemma":[0.9922621,0.0003912379,0.005066922,0.0000409191,0.000009854978,0.00004644318,0.0002425913,0.00002298532,0.001916938],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2978392,"threshold_uncertainty_score":0.5922111,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02268013422318859,"score_gpt":0.3758649770354149,"score_spread":0.3531848428122263,"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."}}