{"id":"W2105970019","doi":"10.7202/1014025ar","title":"L’impact de la taille des firmes industrielles sur la courbe de Kuznets environnementale : le cas des émissions de SO2 en Chine","year":2013,"lang":"fr","type":"article","venue":"L Actualité économique","topic":"Energy, Environment, Economic Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Political science; Humanities; Art","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.00117569,0.0005217397,0.0006875821,0.0007723373,0.0005049641,0.001698172,0.0005464968,0.0004639711,0.006006251],"category_scores_gemma":[0.003242719,0.0002834612,0.001143261,0.001400098,0.0009347404,0.0007035365,0.001028096,0.0007573481,0.0004162421],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001419376,"about_ca_system_score_gemma":0.001215028,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1799332,"about_ca_topic_score_gemma":0.1478168,"domain_scores_codex":[0.9989536,0.0002717266,0.0000535578,0.0002468522,0.0002188093,0.0002554537],"domain_scores_gemma":[0.9959259,0.002394339,0.000763665,0.0003227584,0.0003120948,0.0002813235],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004112132,0.00006531174,0.9748477,0.00008905627,0.0008567469,0.0002561871,0.0004544805,0.01140754,0.002508392,0.0008852814,0.0003791897,0.007838889],"study_design_scores_gemma":[0.00001261002,0.0000873402,0.9932231,0.00001691745,0.0001459517,0.00002267085,0.0007488533,0.002772895,0.00104787,0.0002304896,0.001678193,0.00001309078],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960929,0.0003557188,0.0008039529,0.0001352278,0.00001242675,0.00001566142,0.0006110977,0.00002374159,0.001949339],"genre_scores_gemma":[0.9969094,0.0001704459,0.0001703215,0.00002623921,0.000007386611,0.0000138795,0.0004504335,0.000006636171,0.00224531],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1799332,"threshold_uncertainty_score":0.3577719,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02549163897116151,"score_gpt":0.2338315552006569,"score_spread":0.2083399162294954,"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."}}