{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001909522,0.00009799437,0.0001853349,0.000143904,0.0005686381,0.00009012481,0.0001406844,0.00008627479,0.00006772826],"category_scores_gemma":[0.0001994824,0.00007647258,0.00002082833,0.0001661684,0.0001761075,0.0002630027,0.00007584671,0.0009974539,0.000001082525],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002372555,"about_ca_system_score_gemma":0.0002652581,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003633781,"about_ca_topic_score_gemma":0.03348517,"domain_scores_codex":[0.9988551,0.000243763,0.0003318574,0.00003953051,0.0003431957,0.0001865466],"domain_scores_gemma":[0.9993659,0.0002538505,0.0001273802,0.00003643221,0.0001003037,0.0001161597],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001722327,0.0003859088,0.5040621,0.00002033894,0.0000414986,0.00001508943,0.1492945,0.00002081996,0.0003849704,0.003213998,0.001682453,0.340706],"study_design_scores_gemma":[0.0006694518,0.00006204263,0.8486017,0.000272213,0.000002122609,0.00002939316,0.1361988,0.0000132647,0.0001445915,0.0009869599,0.01287259,0.0001469008],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995595,0.00007560928,0.000004422717,0.002097427,0.0001230556,0.00007023635,7.574427e-7,0.000004083193,0.002029427],"genre_scores_gemma":[0.9991318,0.0001080951,0.000188721,0.0001188335,0.00003932726,0.000002326064,0.000002267082,0.000002879623,0.0004057405],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3445396,"threshold_uncertainty_score":0.9841512,"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."}}