{"id":"W3162713391","doi":"","title":"Trade in Trash: A Political Economy Approach","year":2020,"lang":"en","type":"article","venue":"RePEc: Research Papers in Economics","topic":"Energy, Environment, Economic Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Social Sciences and Humanities Research Council of Canada; Fonds de Recherche du Québec-Société et Culture","keywords":"Externality; Panacea (medicine); Economics; Politics; Rent-seeking; Environmental quality; Core (optical fiber); Microeconomics; Market economy; Public economics; Political science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001078589,0.0004449191,0.0008813068,0.000918555,0.001677939,0.003814539,0.001053908,0.002722977,0.02196441],"category_scores_gemma":[0.002633512,0.0003678839,0.0009602719,0.00100602,0.00290314,0.003150875,0.001319427,0.002207042,0.0006283817],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003373669,"about_ca_system_score_gemma":0.001473314,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005385745,"about_ca_topic_score_gemma":0.007734854,"domain_scores_codex":[0.9994724,0.0002701266,0.000008393327,0.00005983275,0.0000468529,0.0001425141],"domain_scores_gemma":[0.998472,0.0008899864,0.0002857563,0.00007346523,0.00008903047,0.0001896253],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00004318765,0.00007174268,0.0009835934,0.0000390946,0.00003192564,0.0001526982,0.0001241012,0.05335553,0.0002503268,0.9405268,0.001586887,0.002833945],"study_design_scores_gemma":[0.00005403914,0.00004809317,0.0009426181,0.00003769419,0.00002862076,0.0000533807,0.0003268425,0.1420086,0.0001193673,0.8490922,0.007266489,0.00002202296],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3033832,0.003265207,0.2816947,0.02614457,0.0004542982,0.000130389,0.0004221082,0.000110083,0.3843953],"genre_scores_gemma":[0.9650142,0.001108643,0.004479375,0.0006458455,0.0001992117,0.00006283455,0.00004246347,0.00002612334,0.02842122],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02196441,"threshold_uncertainty_score":0.07347822,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05305145488608288,"score_gpt":0.2582108889914524,"score_spread":0.2051594341053695,"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."}}