{"id":"W2892283220","doi":"10.3386/w14936","title":"Pollution and International Trade in Services","year":2009,"lang":"en","type":"preprint","venue":"National Bureau of Economic Research","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Commission for Environmental Cooperation; Resources for the Future","keywords":"Pollution; Business; Environmental science; International trade; Biology; Ecology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.001219743,0.0004049549,0.0005004873,0.004247047,0.001984007,0.006089704,0.0003916725,0.00160736,0.03039169],"category_scores_gemma":[0.005210512,0.0001617156,0.0007696039,0.01453249,0.004104808,0.004504275,0.003443925,0.00169742,0.001423807],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004759745,"about_ca_system_score_gemma":0.001833397,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01846969,"about_ca_topic_score_gemma":0.0137689,"domain_scores_codex":[0.9977171,0.000554811,0.0001056395,0.0002878928,0.0007775605,0.0005569544],"domain_scores_gemma":[0.9950721,0.001699499,0.001913303,0.0002222215,0.0006203744,0.0004725219],"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":[0.0001265695,0.0001167801,0.06691639,0.0003243375,0.0001544033,0.0005514381,0.002212716,0.00595424,0.0002587631,0.8440731,0.02452845,0.05478284],"study_design_scores_gemma":[0.00007266968,0.0001193486,0.1124557,0.0008783243,0.000102353,0.0007224309,0.006391929,0.004232043,0.0006445287,0.493124,0.3811855,0.00007107712],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2446903,0.05004641,0.009542182,0.05139185,0.0006407495,0.00005204997,0.002614392,0.0001389007,0.6408831],"genre_scores_gemma":[0.9425166,0.02415628,0.0006468453,0.002008978,0.0007629598,0.00004571568,0.001061828,0.00007094304,0.02872972],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03039169,"threshold_uncertainty_score":0.1016703,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3667313409687971,"score_gpt":0.4363295870598778,"score_spread":0.06959824609108067,"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."}}