{"id":"W2743205014","doi":"10.1515/jafio-2017-0010","title":"Do Geographical Indications Really Increase Trade? A Conceptual Framework and Empirics","year":2017,"lang":"en","type":"article","venue":"Journal of Agricultural & Food Industrial Organization","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Product (mathematics); Economics; Bilateral trade; Partial equilibrium; Production (economics); Quality (philosophy); Country of origin; Preference; Reputation; Business; International trade; International economics; Microeconomics; Marketing; General equilibrium theory; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000363269,0.0001649822,0.0004180398,0.000142664,0.0004373807,0.0005067502,0.0004171434,0.0004026548,0.0001003555],"category_scores_gemma":[0.001807939,0.0001398598,0.0001013992,0.000301154,0.000152217,0.0008826118,0.00007551121,0.0005107587,0.00002222414],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009010569,"about_ca_system_score_gemma":0.0000518007,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003506146,"about_ca_topic_score_gemma":0.000008740309,"domain_scores_codex":[0.9986085,0.00002450916,0.0008751065,0.000218042,0.00007203771,0.0002018091],"domain_scores_gemma":[0.9976231,0.0000673695,0.001744761,0.0002178728,0.0001232385,0.0002236017],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000008802538,0.00008937281,0.879859,0.000003254568,0.0001347677,0.000002129815,0.0004805478,0.0000229573,0.00002894426,0.1163802,0.002821823,0.000168137],"study_design_scores_gemma":[0.001115152,0.0004000143,0.9922703,0.00003827316,0.00004401787,0.00009577384,0.0004700504,7.662516e-7,0.00009576135,0.002871905,0.002385566,0.0002124407],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9919302,0.0003941192,0.0001916962,0.006309067,0.0006655523,0.0001422288,0.00009830001,0.00001335304,0.0002555154],"genre_scores_gemma":[0.997807,0.000485875,0.0004708855,0.0001607586,0.001025391,0.0000010735,0.0000203518,0.00001404385,0.0000146664],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1135083,"threshold_uncertainty_score":0.5703316,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07140646795497779,"score_gpt":0.2342400791752528,"score_spread":0.162833611220275,"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."}}