{"id":"W2785582458","doi":"10.15544/rd.2017.116","title":"CETA AND ITALIAN AGRI-FOOD PRODUCTS: AN ANALYSIS ON COMPARED ADVANTAGES OF THE MAIN ITALIAN AGRI-FOOD SECTORS","year":2018,"lang":"en","type":"article","venue":"Proccedings of International Scientific Conference \"RURAL DEVELOPMENT 2017\"","topic":"Global Trade and Competitiveness","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"European union; Business; Product (mathematics); Comparative advantage; International trade; Disadvantage; Revealed comparative advantage; Competitive advantage; Liberalization; Free trade; Agricultural economics; International economics; Commerce; Economics; Marketing; Market economy; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005131935,0.0002307827,0.0002876101,0.0004311876,0.0003127671,0.0005110103,0.0009747318,0.00004902182,0.0002714632],"category_scores_gemma":[0.0001567694,0.000168121,0.00008446009,0.0009384126,0.0004513227,0.0009358379,0.0003581293,0.00009281143,0.00002094063],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005775671,"about_ca_system_score_gemma":0.00009899598,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001113357,"about_ca_topic_score_gemma":0.0007536326,"domain_scores_codex":[0.997924,0.00001595766,0.0004694561,0.0005095371,0.0008051233,0.0002759794],"domain_scores_gemma":[0.998011,0.00002073789,0.0005196121,0.0002618143,0.001152738,0.00003411435],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002807419,0.0008063828,0.7577404,0.0004515992,0.001494535,0.000002576437,0.002573846,0.00005453339,0.0773116,0.1526099,0.001749105,0.004924851],"study_design_scores_gemma":[0.0004106795,0.00006951321,0.956345,0.0003180476,0.0001133664,0.000002132896,0.002030462,0.0007006055,0.02482782,0.001108558,0.01373531,0.0003384929],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9903982,0.00001776354,0.00006618398,0.0009570832,0.001138703,0.000298821,0.00005652125,0.00003247066,0.007034267],"genre_scores_gemma":[0.998542,0.000002692032,0.0002764801,0.00009044426,0.0001931068,0.00001598729,0.0001232326,0.000008674813,0.0007474349],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1986046,"threshold_uncertainty_score":0.6855774,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03227286226767071,"score_gpt":0.2437860566046469,"score_spread":0.2115131943369762,"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."}}