{"id":"W2270712509","doi":"","title":"Food Clusters, Rural Development and Creative Economy","year":2015,"lang":"en","type":"article","venue":"Journal of rural and community development","topic":"Entrepreneurship Studies and Influences","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Nexus (standard); Creative economy; Conceptual framework; Food processing; Cluster (spacecraft); Process (computing); Business; Consumption (sociology); Conceptual model; Economic geography; Economic growth; Marketing; Regional science; Creativity; Economics; Political science; Computer science; Geography; Sociology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.001070912,0.0003103909,0.0001759327,0.001571145,0.004296333,0.005135315,0.0006000887,0.0008678491,0.003919691],"category_scores_gemma":[0.001267869,0.0001247076,0.0001440594,0.002243707,0.02028323,0.00311979,0.003949267,0.0007488796,0.0002322261],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009397999,"about_ca_system_score_gemma":0.008007588,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03171722,"about_ca_topic_score_gemma":0.04008392,"domain_scores_codex":[0.999159,0.0003822934,0.00001726822,0.00007779913,0.0001386521,0.000225039],"domain_scores_gemma":[0.9992166,0.0003385558,0.0001223398,0.00005552234,0.00007915813,0.0001877546],"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":[0.0000144448,0.00002019321,0.00241343,0.00009220879,0.000003534481,0.000309319,0.01343636,0.001177603,0.0001777079,0.9617385,0.001095642,0.0195211],"study_design_scores_gemma":[0.00003167114,0.00007630654,0.01065696,0.0003614417,0.000008080683,0.0006597275,0.07361874,0.001833397,0.0003431622,0.617003,0.2953764,0.00003119634],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3271422,0.009187873,0.02415526,0.01767836,0.0001415552,0.0001805214,0.00005576362,0.00008340266,0.621375],"genre_scores_gemma":[0.9873503,0.001563728,0.001981884,0.000192171,0.0000173732,0.00003013494,0.00000961338,0.000006648999,0.008848077],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03171722,"threshold_uncertainty_score":0.06818759,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03964980817775262,"score_gpt":0.2335579392544894,"score_spread":0.1939081310767368,"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."}}