{"id":"W2017685430","doi":"10.1201/9781420032628-12","title":"Industrial Pollution Abatement: The Impact on Balance of Trade","year":2001,"lang":"en","type":"book-chapter","venue":"","topic":"Fiscal Policy and Economic Growth","field":"Economics, Econometrics and Finance","cited_by":97,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pollution; Balance (ability); Environmental science; Natural resource economics; Business; Economics; Psychology; Ecology","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":[0.0004688601,0.0003804106,0.0003604129,0.0009534336,0.0004567737,0.002261713,0.0004188622,0.0005015953,0.01329064],"category_scores_gemma":[0.001079014,0.0001827384,0.0004055199,0.002152205,0.0006437098,0.001469214,0.0003671934,0.0008035903,0.0009140574],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003983634,"about_ca_system_score_gemma":0.001600429,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01690292,"about_ca_topic_score_gemma":0.01927624,"domain_scores_codex":[0.9996787,0.00006301293,0.000008094882,0.00004513026,0.0001622644,0.0000426862],"domain_scores_gemma":[0.9995919,0.000199809,0.00006429228,0.00002047608,0.0001075625,0.00001584497],"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":[0.0001230745,0.0001332411,0.01672176,0.0004184914,0.0001032815,0.0001750942,0.0003315486,0.08670363,0.002270647,0.7437361,0.02151512,0.127768],"study_design_scores_gemma":[0.00003247316,0.0002213731,0.09603842,0.0003232087,0.00008855366,0.00037928,0.0008059373,0.05123265,0.006366479,0.6019252,0.2425099,0.00007649747],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1756349,0.02453116,0.03056143,0.007627261,0.0003794736,0.00006223195,0.004319037,0.0002750669,0.7566096],"genre_scores_gemma":[0.8975563,0.01599636,0.006234096,0.000424679,0.0002090189,0.00003594179,0.001358148,0.00009338556,0.07809188],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01690292,"threshold_uncertainty_score":0.04446161,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07801735154229043,"score_gpt":0.2400584286377299,"score_spread":0.1620410770954395,"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."}}