{"id":"W3188912971","doi":"10.1017/9781108556965.008","title":"The New <i>Tianxia</i>: Rebuilding China’s Internal and External Order","year":2018,"lang":"en","type":"book-chapter","venue":"Cambridge University Press eBooks","topic":"China's Socioeconomic Reforms and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Order (exchange); China; Political science; Business; Law","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005904264,0.000365862,0.0002428318,0.0007260363,0.003963059,0.003722504,0.0004286602,0.0008310387,0.004977776],"category_scores_gemma":[0.0005125964,0.000218117,0.0002448857,0.002046854,0.007300673,0.002498341,0.002049962,0.002167459,0.0002885385],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007901907,"about_ca_system_score_gemma":0.01534365,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06893177,"about_ca_topic_score_gemma":0.1732495,"domain_scores_codex":[0.9997305,0.00004747335,0.00001077187,0.00003363323,0.00005870411,0.0001188939],"domain_scores_gemma":[0.9998945,0.0000139712,0.00001306321,0.0000246433,0.00001563406,0.00003820482],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001487915,0.00001084996,0.001611782,0.00008776929,0.00001353148,0.0001501151,0.01234883,0.0004740209,0.0004667671,0.9362126,0.01945667,0.02915219],"study_design_scores_gemma":[0.00002617162,0.00004238891,0.02234772,0.0001564099,0.00002383997,0.00007170043,0.006191893,0.000780776,0.0005653925,0.2145185,0.7552356,0.00003968494],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.2438504,0.01968116,0.003671479,0.0439434,0.001424997,0.000105438,0.0002839459,0.0001853767,0.6868538],"genre_scores_gemma":[0.8526552,0.004904507,0.001526774,0.002521913,0.000270607,0.0000833609,0.0001314094,0.00007430566,0.1378319],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.06893177,"threshold_uncertainty_score":0.1370611,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01196980437869759,"score_gpt":0.2188899409924129,"score_spread":0.2069201366137153,"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."}}