{"id":"W1970362088","doi":"10.1016/j.jeem.2010.10.009","title":"Growth and pollution convergence: Theory and evidence","year":2011,"lang":"en","type":"article","venue":"Journal of Environmental Economics and Management","topic":"Fiscal Policy and Economic Growth","field":"Economics, Econometrics and Finance","cited_by":130,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph; Université Laval","funders":"","keywords":"Convergence (economics); Economics; Panel data; Pollution; Econometrics; Sustainable growth rate; Sustainable development; Sulfur; Pollutant; Parametric statistics; Scale (ratio); Endogenous growth theory; Growth model; Mathematics; Microeconomics; Chemistry; Macroeconomics; Statistics; Ecology; Economic growth; Biology; Geography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006668949,0.0001224046,0.0002575561,0.0001491567,0.00007331039,0.00003651806,0.00009695382,0.00004798954,0.0000914832],"category_scores_gemma":[0.00001196124,0.0001320422,0.00004859661,0.00001687604,0.0001706797,0.0004855792,0.0001476929,0.00007829935,0.00001673486],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005181675,"about_ca_system_score_gemma":0.000002365964,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001596714,"about_ca_topic_score_gemma":0.000001298815,"domain_scores_codex":[0.9990938,0.00001450029,0.0005113584,0.0002150784,0.00001268886,0.0001525711],"domain_scores_gemma":[0.9993517,0.00002204756,0.0004066194,0.00009511623,0.000001368605,0.0001230954],"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":[0.0001230853,0.00006265613,0.04019998,0.00007380368,0.0001591556,0.000006770673,0.0006786555,0.000002621762,0.00002942095,0.9553007,0.000090364,0.003272727],"study_design_scores_gemma":[0.000798251,0.000255897,0.5824615,0.00003729749,0.00004055995,0.00007150113,0.0005648649,0.0001765446,0.0001091106,0.4122742,0.002961156,0.0002490337],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9814472,0.006517788,0.0002898766,0.000409166,0.0002111368,0.0001187388,0.00002199572,0.000002943019,0.01098115],"genre_scores_gemma":[0.9506872,0.04804123,0.0006024227,0.0004921019,0.00005266062,0.000002648761,3.823849e-7,0.00001052364,0.0001108754],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5430265,"threshold_uncertainty_score":0.5384523,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02555452690727001,"score_gpt":0.1839501917862698,"score_spread":0.1583956648789998,"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."}}