{"id":"W2994415304","doi":"","title":"Culture Province: The Study on Improving Soft Power of Hunan’s Culture","year":2014,"lang":"en","type":"article","venue":"Cross-cultural communication","topic":"Cultural Industries and Urban Development","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Soft power; Globalization; Culture industry; Cultural industry; Order (exchange); Face (sociological concept); Power (physics); Business; Economy; Economic geography; Political science; Geography; Sociology; Social science; Economics; Market economy; Politics","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":[0.0005849751,0.0001383252,0.0001083178,0.0006262479,0.003624316,0.001491011,0.0003114328,0.00026005,0.002223478],"category_scores_gemma":[0.0006687215,0.00007807038,0.0001299916,0.001644737,0.001195107,0.0009212457,0.0008724541,0.0007372245,0.00007598913],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005107137,"about_ca_system_score_gemma":0.010113,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07657508,"about_ca_topic_score_gemma":0.1518544,"domain_scores_codex":[0.999742,0.00008872846,0.000006493935,0.0000210868,0.00004605393,0.00009578748],"domain_scores_gemma":[0.9997081,0.00008801567,0.0000315387,0.000009669382,0.00007136302,0.00009121579],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001963928,0.001093746,0.3835572,0.0006873981,0.00006210276,0.002022834,0.2128551,0.0008487959,0.003875672,0.1375251,0.01015707,0.2471184],"study_design_scores_gemma":[0.00001811995,0.0002018488,0.4900984,0.0003554682,0.00004988594,0.0002897996,0.4419122,0.000874573,0.001363241,0.008729565,0.05607915,0.00002775819],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9525344,0.0006323188,0.0002197163,0.001688803,0.00004063239,0.00002633097,0.0000196896,0.000002743407,0.0448354],"genre_scores_gemma":[0.9949161,0.0005173854,0.0001781149,0.0001833664,0.000006740016,0.000008507122,0.0000159393,0.000001018551,0.004172861],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07657508,"threshold_uncertainty_score":0.1522587,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03523425800873761,"score_gpt":0.3510426158145255,"score_spread":0.3158083578057879,"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."}}