{"id":"W2739699344","doi":"","title":"An Examination of Nearly Green Programs: Case Studies for Canada, the United States and the European Union","year":2000,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Agricultural Economics and Policy","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Neutrality; European union; International trade; Production (economics); Payment; Political science; International economics; Business; Economics; Law; Finance; Macroeconomics","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":[0.00291935,0.0005037409,0.0006385758,0.004729103,0.006665593,0.003297039,0.001653058,0.002071797,0.003393574],"category_scores_gemma":[0.007479919,0.0002385565,0.0006451185,0.01301076,0.002441606,0.001199864,0.001991217,0.001659129,0.0001458474],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04279472,"about_ca_system_score_gemma":0.03595837,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9769008,"about_ca_topic_score_gemma":0.9894358,"domain_scores_codex":[0.9964846,0.0009541199,0.00006211671,0.0001326033,0.00100761,0.001358938],"domain_scores_gemma":[0.9923176,0.003682236,0.0006571818,0.0002096569,0.002335781,0.0007974943],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.001560903,0.005001672,0.3627018,0.001595899,0.0006618383,0.009366289,0.03072434,0.05524256,0.001360652,0.2737813,0.06306742,0.1949353],"study_design_scores_gemma":[0.000732084,0.001158779,0.5723445,0.001399673,0.0009112366,0.001708481,0.1872665,0.04038399,0.002474028,0.01743592,0.1738845,0.0003003147],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9034113,0.005034048,0.001163857,0.002830422,0.00002908652,0.0004559302,0.001874205,0.00004998368,0.08515109],"genre_scores_gemma":[0.9845932,0.003047612,0.001838485,0.0005021609,0.0000112255,0.0001138869,0.0007560758,0.00001763999,0.009119782],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04279472,"threshold_uncertainty_score":0.3104989,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04666072204212902,"score_gpt":0.292818409743045,"score_spread":0.246157687700916,"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."}}