{"id":"W3125677312","doi":"","title":"Sulphur Emissions and Productivity Growth in Industrialised Countries","year":2005,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Energy, Environment, Economic Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Data envelopment analysis; Productivity; Index (typography); Technological change; Technical change; Economics; Malmquist index; Econometrics; Total factor productivity; Technical progress; Natural resource economics; Macroeconomics; Mathematics; Statistics; Computer science","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":[0.0007396096,0.000505181,0.0003772786,0.003293375,0.000324571,0.001629908,0.0001666239,0.0003652126,0.0014289],"category_scores_gemma":[0.002705965,0.0001311927,0.0006112937,0.004417753,0.0009049593,0.0008185582,0.001108869,0.0006062528,0.0003484448],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001298064,"about_ca_system_score_gemma":0.0006379301,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01687908,"about_ca_topic_score_gemma":0.008906933,"domain_scores_codex":[0.9996457,0.00005836444,0.00002291064,0.00004827888,0.00007961117,0.0001451156],"domain_scores_gemma":[0.997957,0.0004317359,0.001062329,0.00009621065,0.0002591254,0.0001935948],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002892997,0.0001458505,0.9319427,0.0001472305,0.0003249063,0.001002997,0.001138849,0.03297094,0.001195228,0.005586351,0.001329153,0.02392652],"study_design_scores_gemma":[0.00003880098,0.0001416775,0.9875114,0.00004855319,0.00004672794,0.0001472206,0.0007862407,0.004682318,0.0007264295,0.002676754,0.00317441,0.00001946352],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9923038,0.001386577,0.0003782978,0.0003820853,0.00001485861,0.000007462091,0.000555098,0.00002845544,0.004943328],"genre_scores_gemma":[0.9975839,0.001118719,0.00009917517,0.00001920592,0.00001815915,0.00000530327,0.0006154736,0.000002186273,0.0005378923],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01687908,"threshold_uncertainty_score":0.03356165,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01475374708883441,"score_gpt":0.2015061331836183,"score_spread":0.1867523860947838,"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."}}