{"id":"W1592598432","doi":"10.5539/ass.v11n16p278","title":"China’s Approach in Territorial Disputes Settlement","year":2015,"lang":"en","type":"article","venue":"Asian Social Science","topic":"International Relations and Foreign Policy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"China; Territorial dispute; Settlement (finance); Political science; Cold war; Government (linguistics); Power (physics); Great power; Population; Political economy; Economy; Development economics; Sociology; Economics; Law; Demography; 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":[0.002357191,0.0001686746,0.0002267331,0.002252911,0.006758209,0.004283241,0.001130147,0.001178896,0.00363345],"category_scores_gemma":[0.002925192,0.0001105076,0.0002978928,0.00436232,0.00984214,0.002300968,0.003304305,0.001411241,0.000101645],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01435639,"about_ca_system_score_gemma":0.01109901,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09434363,"about_ca_topic_score_gemma":0.1724325,"domain_scores_codex":[0.9968284,0.001287036,0.000107445,0.0003162353,0.0005320538,0.0009289373],"domain_scores_gemma":[0.9990191,0.0002748965,0.000212886,0.0001141572,0.0001583009,0.000220541],"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":[0.0000532519,0.00003865168,0.05117492,0.0001031022,0.00003815579,0.001179638,0.1393621,0.001532966,0.0006432116,0.7745906,0.002680007,0.02860341],"study_design_scores_gemma":[0.00005107012,0.0001777426,0.3364435,0.0003689216,0.00009395804,0.0008540515,0.3291428,0.007793368,0.001068194,0.1510633,0.1728388,0.0001043001],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8335958,0.001299805,0.001439501,0.004068406,0.00006524348,0.0000651977,0.0000508671,0.00000754498,0.1594076],"genre_scores_gemma":[0.9967818,0.0001359111,0.0001429734,0.00009999417,0.000007460577,0.00001095478,0.00001312289,0.000001215755,0.002806378],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09434363,"threshold_uncertainty_score":0.187589,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02776712160803555,"score_gpt":0.3458768947845954,"score_spread":0.3181097731765598,"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."}}