{"id":"W2019178964","doi":"10.1111/j.1744-7976.2012.01251.x","title":"Deforestation and the Environmental Kuznets Curve in Developing Countries: A Panel Smooth Transition Regression Approach","year":2012,"lang":"en","type":"article","venue":"Canadian Journal of Agricultural Economics/Revue canadienne d agroeconomie","topic":"Energy, Environment, Economic Growth","field":"Economics, Econometrics and Finance","cited_by":86,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Kuznets curve; Endogeneity; Deforestation (computer science); Economics; Panel data; Afforestation; Econometrics; Welfare economics; Geography; Forestry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001391438,0.0003608998,0.0008070543,0.000437718,0.0002504318,0.0001524911,0.0003841987,0.0001974931,0.000140013],"category_scores_gemma":[0.00005203824,0.0003047074,0.0001937611,0.00009429209,0.0003273787,0.00134162,0.00002938539,0.0003334292,0.00005359029],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003268081,"about_ca_system_score_gemma":0.0001427029,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01432012,"about_ca_topic_score_gemma":0.1123561,"domain_scores_codex":[0.9971741,0.00006768822,0.001451958,0.0004128721,0.00001095243,0.0008823976],"domain_scores_gemma":[0.9976061,0.0001295206,0.001201768,0.0002402114,0.00001461445,0.0008077843],"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":[0.000194575,0.00007018514,0.298711,0.0001095782,0.0003256428,0.00002001823,0.02304871,0.01425922,0.00001071907,0.6616091,0.0006935747,0.0009476492],"study_design_scores_gemma":[0.003779381,0.0001053347,0.950697,0.00008922649,0.00004328291,0.0005710298,0.00370096,0.001374848,0.00002750318,0.009492994,0.02926322,0.0008552255],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9905694,0.002817467,0.0001491716,0.003903815,0.0007142998,0.0003580328,0.0002253544,0.000004953974,0.001257564],"genre_scores_gemma":[0.996338,0.001619087,0.0005608304,0.0007983598,0.0004008243,0.00003323359,0.00009212944,0.00003537407,0.0001222238],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6521161,"threshold_uncertainty_score":0.9999405,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02668010619449843,"score_gpt":0.1574762394185243,"score_spread":0.1307961332240258,"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."}}