{"id":"W1738061691","doi":"10.3968/j.ccc.1923670020120801.z309","title":"The Study of Cultural Soft Power under the Construction of New Rural Areas","year":2012,"lang":"en","type":"article","venue":"Cross-cultural communication","topic":"Regional Development and Environment","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Soft power; Grassroots; Government (linguistics); Power (physics); Element (criminal law); Rural area; Political science; Economic growth; Sociology; China; Economics; 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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0005692701,0.00008087032,0.00009445157,0.000009435453,0.001302952,0.0001168719,0.0005436183,0.00004926282,0.00004438786],"category_scores_gemma":[0.00007803797,0.0000403716,0.00005597337,0.0001414358,0.001399214,0.0006194912,0.0001267082,0.0001148793,0.00001201469],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008805388,"about_ca_system_score_gemma":0.00003542122,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001437543,"about_ca_topic_score_gemma":0.0004407983,"domain_scores_codex":[0.9989219,0.0002263009,0.0002545953,0.00005816878,0.0003639289,0.0001751408],"domain_scores_gemma":[0.9990617,0.0001627494,0.0002316649,0.0003448653,0.0001489971,0.00005001611],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001438712,0.0004381641,0.4809515,0.000006693297,0.0002109407,4.883695e-8,0.3356854,0.0002166643,0.001273112,0.1486797,0.007095615,0.02529822],"study_design_scores_gemma":[0.000268121,0.00002740038,0.6676301,0.00001263251,0.00001753986,0.000001241278,0.2843421,0.000002839686,0.0001416363,0.001270981,0.04620444,0.00008099624],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9911032,0.0008150507,0.000007508767,0.003000565,0.0001686583,0.0002862531,7.07447e-7,0.00001533893,0.004602667],"genre_scores_gemma":[0.9976717,0.0005904655,0.00009702203,0.00003655176,0.00004894263,0.00001243027,0.00001023255,0.000003592237,0.001529115],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1866785,"threshold_uncertainty_score":0.9999972,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04353076949963641,"score_gpt":0.3512047157352515,"score_spread":0.3076739462356151,"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."}}