{"id":"W4390018210","doi":"10.2139/ssrn.4655465","title":"Still Water Runs Deep: Soft Power in Chinese Prefectures and Municipalities","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Culture, Economy, and Development Studies","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Soft power; Power (physics); Deep water; China; Geography; Agricultural economics; Environmental science; Business; Economics; Engineering; Marine engineering; Archaeology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001810935,0.000132311,0.0001891619,0.0001421901,0.0004989528,0.0001006106,0.0001693117,0.0000726963,0.00008630919],"category_scores_gemma":[0.0001270023,0.00008632783,0.00005506781,0.0001850688,0.0001436367,0.0002148208,0.00007453548,0.0006166852,0.00004136885],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003275727,"about_ca_system_score_gemma":0.00041562,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001144011,"about_ca_topic_score_gemma":0.1236119,"domain_scores_codex":[0.9975577,0.0001065273,0.0002074416,0.0001610934,0.0001853214,0.001781922],"domain_scores_gemma":[0.9997055,0.00007437779,0.00004535379,0.00006466817,0.00003974346,0.00007038475],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00008529695,0.00007147963,0.3230754,0.00001730104,0.000360622,0.00002205616,0.5255847,0.00009914028,0.00007236166,0.14387,0.0009555044,0.005786129],"study_design_scores_gemma":[0.000947572,0.0001150013,0.09066023,0.00002578157,0.00001828216,0.00003656391,0.2199292,0.00001590807,0.00001743564,0.6049786,0.08282605,0.0004294479],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9866108,0.003287475,0.00001781072,0.00193465,0.0002106439,0.0001093227,0.000001058173,0.00005690167,0.007771295],"genre_scores_gemma":[0.9796054,0.01116807,0.000008155907,0.0001299149,0.0001809784,0.000009420315,0.00000290973,0.000009875464,0.00888525],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4611085,"threshold_uncertainty_score":0.8923799,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01091286173529953,"score_gpt":0.2755013102689238,"score_spread":0.2645884485336242,"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."}}