{"id":"W3189860118","doi":"","title":"Geographical Indications as Tools for Knowledge Governance in Selected East and Southern African Countries","year":2016,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Organic Food and Agriculture","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Thompson Rivers University","funders":"","keywords":"Corporate governance; Variety (cybernetics); Thematic map; Geography; Regional science; Agriculture; Agricultural productivity; Knowledge production; Business; Cartography; Knowledge management; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007390999,0.0002130275,0.0002398064,0.005957877,0.001026295,0.004969577,0.0004261065,0.0006318984,0.002010058],"category_scores_gemma":[0.0098823,0.0003079136,0.0001316974,0.009882276,0.00239903,0.004047428,0.00254864,0.0008328033,0.0001289705],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002416722,"about_ca_system_score_gemma":0.002499157,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004261922,"about_ca_topic_score_gemma":0.004505032,"domain_scores_codex":[0.9971203,0.001627055,0.0003659109,0.000131406,0.0005349902,0.0002203875],"domain_scores_gemma":[0.9941607,0.003642142,0.001169124,0.0002761968,0.0005855132,0.0001662836],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001504143,0.00004358704,0.05707001,0.001144085,0.00003169743,0.001154385,0.05733929,0.005537215,0.002275626,0.6651272,0.00550206,0.2046244],"study_design_scores_gemma":[0.00003862342,0.0002565349,0.1444499,0.003245258,0.00009410718,0.001639882,0.1409816,0.007288557,0.005990426,0.09665886,0.5991963,0.0001598898],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7593506,0.01887232,0.0446954,0.01003953,0.000136018,0.0004132867,0.001258935,0.0002673866,0.1649665],"genre_scores_gemma":[0.9744611,0.005404475,0.01633072,0.0001572876,0.0000179024,0.00009459384,0.0003905017,0.00003233477,0.003111057],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007390999,"threshold_uncertainty_score":0.03908783,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007572613755329705,"score_gpt":0.1940727852029441,"score_spread":0.1865001714476144,"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."}}