{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004737893,0.0008134805,0.001384888,0.003417795,0.001234409,0.005514593,0.00118454,0.003380409,0.02348967],"category_scores_gemma":[0.01428181,0.000567393,0.001530749,0.00254093,0.008603212,0.005195787,0.002138513,0.00173091,0.0008627101],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001899337,"about_ca_system_score_gemma":0.0009416426,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004097191,"about_ca_topic_score_gemma":0.001959416,"domain_scores_codex":[0.9978306,0.001288015,0.00008149027,0.0003775721,0.000175793,0.0002465828],"domain_scores_gemma":[0.9669216,0.02755415,0.003527319,0.0008572763,0.0006356356,0.000503861],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00007670513,0.0002293209,0.01698618,0.0002891389,0.0001756716,0.0005256717,0.0004317341,0.02595385,0.000280679,0.942279,0.001923502,0.01084841],"study_design_scores_gemma":[0.0001322867,0.0001737689,0.01525766,0.0003042842,0.0002984662,0.0003072743,0.001133551,0.09008941,0.0001986195,0.8827326,0.009317651,0.00005451817],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5729607,0.01278956,0.1425707,0.03741508,0.0003344647,0.0003268761,0.001208797,0.0002520895,0.2321416],"genre_scores_gemma":[0.9895039,0.002213289,0.004011792,0.0007536105,0.0002719751,0.00009343957,0.0000985441,0.00002037109,0.003033015],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02348967,"threshold_uncertainty_score":0.0785808,"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."}}