{"id":"W7106856518","doi":"10.14288/cjur.v8i1.198483","title":"Revisiting the Environmental Kuznets Curve Model: Greenhouse Gas Emissions within Canada","year":2023,"lang":"en","type":"article","venue":"Open Collections","topic":"Energy, Environment, Economic Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Kuznets curve; Greenhouse gas; Environmental degradation; Per capita; Per capita income; Climate change","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001497906,0.0008896294,0.001157201,0.001807268,0.002768517,0.004958228,0.002783762,0.001802052,0.006296725],"category_scores_gemma":[0.006972328,0.000437473,0.001040715,0.003540155,0.002088333,0.002584024,0.001780873,0.002675637,0.0005195442],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03461049,"about_ca_system_score_gemma":0.03275659,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9857289,"about_ca_topic_score_gemma":0.9662278,"domain_scores_codex":[0.9992269,0.0001210059,0.00001996208,0.0001314692,0.0001673474,0.0003332586],"domain_scores_gemma":[0.9976813,0.0008133852,0.0002169548,0.00009444251,0.0009734018,0.0002205824],"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":[0.0002039532,0.0001091268,0.05867503,0.0001334394,0.0001253294,0.0005468411,0.0008084891,0.5597643,0.0002873335,0.3362893,0.02229773,0.02075915],"study_design_scores_gemma":[0.00008149556,0.00003617516,0.01916632,0.000104044,0.0001234626,0.00009946914,0.001419554,0.8745434,0.0001775622,0.08019386,0.02396518,0.00008947267],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6897556,0.007203096,0.06569356,0.03215472,0.0004648664,0.0003691799,0.01453852,0.0005545664,0.1892659],"genre_scores_gemma":[0.9734049,0.00279986,0.004498615,0.0004335542,0.00007332902,0.00005278207,0.001641149,0.00007070219,0.01702511],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03461049,"threshold_uncertainty_score":0.2511179,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02883593435277096,"score_gpt":0.2103012231316406,"score_spread":0.1814652887788696,"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."}}