{"id":"W7097626314","doi":"","title":"International Agricultural Trade Research Consortium Comparative Advantage, Competitive Advantage, and u.s. Agricultural Trade By","year":2015,"lang":"en","type":"article","venue":"","topic":"Global Trade and Competitiveness","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Agriculture; Work (physics); Distribution (mathematics); Order (exchange); Commercial policy; Trade barrier; Focus (optics)","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":[0.009419025,0.001263438,0.00110378,0.008342789,0.001515974,0.01215135,0.001318546,0.002925104,0.07195728],"category_scores_gemma":[0.01597336,0.0003111291,0.0004970114,0.02927655,0.001790151,0.006058891,0.002757266,0.00316325,0.02050023],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005000946,"about_ca_system_score_gemma":0.01980364,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03011669,"about_ca_topic_score_gemma":0.02091266,"domain_scores_codex":[0.9954818,0.001152537,0.0003239606,0.0007606887,0.001797273,0.0004837289],"domain_scores_gemma":[0.9787315,0.004137022,0.003166002,0.001722556,0.009885313,0.00235764],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.000127141,0.00007606742,0.006283237,0.0003560073,0.00003472194,0.00006850329,0.0002495104,0.0002404445,0.00009121311,0.06609264,0.8236381,0.1027423],"study_design_scores_gemma":[0.00002580475,0.00002677952,0.01938011,0.00108059,0.00002578783,0.00008985955,0.0004904944,0.0004616268,0.0001227117,0.01561706,0.9626477,0.00003152111],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.005859565,0.0806675,0.002312476,0.06595303,0.01137188,0.0003599201,0.04691156,0.0004301982,0.7861339],"genre_scores_gemma":[0.143011,0.1629917,0.01233634,0.006435639,0.006074218,0.001549235,0.1516019,0.0006614621,0.5153385],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07195728,"threshold_uncertainty_score":0.240721,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06272418027642768,"score_gpt":0.3161696342198871,"score_spread":0.2534454539434594,"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."}}