{"id":"W319302683","doi":"","title":"Capitalizing on Creativity in Rural Areas: National and Local Branding in Japan","year":2010,"lang":"en","type":"article","venue":"Journal of rural and community development","topic":"Cultural Industries and Urban Development","field":"Social Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Creativity; Promotion (chess); Government (linguistics); Local government; Rural area; Identification (biology); National government; Localism; Globalization; Place branding; Creative industries; Political science; Marketing; Regional science; Sociology; Economic growth; Business; Tourism; Public administration; Politics; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001065389,0.0001070812,0.0001726812,0.0006964158,0.002155766,0.002480189,0.0002361786,0.0003191114,0.001844724],"category_scores_gemma":[0.001443664,0.0001416242,0.0001405825,0.001516531,0.002247546,0.001611782,0.002098487,0.0004146822,0.00007949513],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001523124,"about_ca_system_score_gemma":0.001356975,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01170944,"about_ca_topic_score_gemma":0.04069459,"domain_scores_codex":[0.9996767,0.00009350073,0.00002027332,0.00005007149,0.0000591596,0.0001003583],"domain_scores_gemma":[0.9989717,0.0002207527,0.0003136769,0.00008343608,0.0001200214,0.0002904142],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002741204,0.0003028432,0.5524604,0.0003439205,0.00003881531,0.002541098,0.3022682,0.0006594203,0.004596599,0.02923761,0.001345819,0.1059312],"study_design_scores_gemma":[0.0000208473,0.0001638466,0.7308191,0.00009123928,0.00003662061,0.0006150094,0.2437744,0.0009096347,0.0004679229,0.006041701,0.01702501,0.00003468771],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9875849,0.0002951906,0.0001153971,0.0002023546,0.000003132518,0.000003171412,0.000004883333,0.0000016206,0.01178919],"genre_scores_gemma":[0.9990176,0.0001670828,0.0001029058,0.00001940712,0.000002867141,0.000001734697,0.00000429182,8.967389e-7,0.0006832255],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01170944,"threshold_uncertainty_score":0.02328259,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04046116293086176,"score_gpt":0.2977300702491911,"score_spread":0.2572689073183293,"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."}}