{"id":"W2142007549","doi":"10.2139/ssrn.1736713","title":"Guide to Geographical Indications: Linking Products and Their Origins (Summary)","year":2009,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Organic Food and Agriculture","field":"Agricultural and Biological Sciences","cited_by":97,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Geography; Regional science; Data science; Computer science","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":[0.0005593312,0.0001466271,0.0001362555,0.0000241909,0.0003865151,0.0001067153,0.0002644178,0.00008648279,0.00001610678],"category_scores_gemma":[0.00005245652,0.00004568021,0.00005786361,0.0005943897,0.00002226888,0.0001294284,0.00003111888,0.0008478992,0.00001137035],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001257057,"about_ca_system_score_gemma":0.0001082955,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003935171,"about_ca_topic_score_gemma":0.0005824425,"domain_scores_codex":[0.9982588,0.00004474266,0.0001960048,0.0002496355,0.0001503815,0.001100383],"domain_scores_gemma":[0.9996342,0.00003189276,0.00007607167,0.00004429994,0.00007605424,0.0001374665],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002327292,0.0001491517,0.001336905,0.000001999151,0.00005293961,0.000002028082,0.0001585997,9.749889e-7,0.2682309,0.0561011,0.002960501,0.6709816],"study_design_scores_gemma":[0.0003725947,0.003011361,0.1173556,0.00009710615,0.0000364761,0.0009085389,0.002208669,0.000004583711,0.006557961,0.1313949,0.7374091,0.0006431144],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9266823,0.003326713,0.00004077672,0.06917088,0.0000806642,0.0001766007,0.000004883718,0.0000638273,0.0004533308],"genre_scores_gemma":[0.9948787,0.002600226,0.00007845927,0.0008311828,0.0009773821,0.000002096797,0.0000103679,8.729469e-7,0.0006207022],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7344486,"threshold_uncertainty_score":0.3683747,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005475828236923794,"score_gpt":0.2053411077221535,"score_spread":0.1998652794852297,"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."}}