{"id":"W7098608576","doi":"","title":"Environmental Kuznets Curve for CO2 in Canada Jie He∗","year":2009,"lang":"en","type":"article","venue":"","topic":"Plant Reproductive Biology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Kuznets curve; Per capita; Parametric statistics; Shock (circulatory); Per capita income; Semiparametric model; Quadratic equation; Parametric model","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004899423,0.0002053747,0.000353001,0.001027303,0.001375285,0.001154121,0.0007853564,0.0005040886,0.004198953],"category_scores_gemma":[0.002366041,0.0001357308,0.0004087033,0.001802062,0.0005282162,0.0005518495,0.0006330711,0.0007292253,0.0003045381],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01975562,"about_ca_system_score_gemma":0.01076112,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9798083,"about_ca_topic_score_gemma":0.9787282,"domain_scores_codex":[0.9997303,0.00001893267,0.000008447341,0.00004505879,0.0000835352,0.0001137372],"domain_scores_gemma":[0.9988652,0.0001550029,0.0001006888,0.00005556595,0.0006456234,0.0001778506],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006296133,0.0001650716,0.6969783,0.0001796717,0.0002485992,0.001648498,0.00141318,0.1453594,0.0060596,0.05953455,0.04241319,0.04537035],"study_design_scores_gemma":[0.0000282573,0.00003456446,0.7995253,0.0000303882,0.00005283309,0.0001391429,0.002270643,0.1696696,0.001982004,0.008461924,0.0176673,0.0001380248],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9628319,0.0007039684,0.001558633,0.004220448,0.00004600706,0.00002072967,0.005260872,0.0001523372,0.02520525],"genre_scores_gemma":[0.9957616,0.0001219441,0.0001774175,0.00009515659,0.000005011338,0.000003191567,0.001062642,0.00002303587,0.002750058],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02019173,"threshold_uncertainty_score":0.1433377,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005263163122303986,"score_gpt":0.1993951400238155,"score_spread":0.1941319769015115,"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."}}