{"id":"W6963986383","doi":"10.22004/ag.econ.142503","title":"Protectionism Indices for Non-Tariff Measures: An Application to Maximum Residue Levels","year":2013,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Global trade, sustainability, and social impact","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Agriculture and Agri-Food Canada; U.S. Department of Agriculture","keywords":"Protectionism; Agriculture; Residue (chemistry); Pesticide residue; Food products; Technical barriers to trade; Winter wheat","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":[0.01292342,0.001003497,0.0009563099,0.007788086,0.0009260341,0.003520291,0.00124583,0.0009291393,0.002710133],"category_scores_gemma":[0.03885879,0.0003845893,0.001947848,0.01042125,0.001940802,0.004375917,0.002720066,0.002893986,0.0005351398],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002056503,"about_ca_system_score_gemma":0.001594434,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001638734,"about_ca_topic_score_gemma":0.001413295,"domain_scores_codex":[0.9908546,0.003806908,0.0009032288,0.0008903617,0.003248092,0.0002968046],"domain_scores_gemma":[0.9734036,0.0125203,0.006333311,0.004300725,0.002996576,0.000445517],"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":[0.0001654121,0.000276795,0.07780412,0.0005706706,0.0004427113,0.0002504508,0.001642869,0.06980065,0.003366933,0.4538885,0.008546451,0.3832444],"study_design_scores_gemma":[0.00005459311,0.0005055648,0.06264951,0.0004932742,0.0001339528,0.0004335269,0.00100165,0.217292,0.004295965,0.6647503,0.0482148,0.0001749065],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07322724,0.001618926,0.8948252,0.00115371,0.00022679,0.0003824018,0.002316384,0.0004118736,0.02583758],"genre_scores_gemma":[0.4842835,0.0006369554,0.5107226,0.0001614224,0.0002902541,0.0005715858,0.001760283,0.0001376334,0.001435719],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01292342,"threshold_uncertainty_score":0.06834638,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04036789033127906,"score_gpt":0.2614755015600947,"score_spread":0.2211076112288156,"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."}}