{"id":"W2755021782","doi":"","title":"China’s Evolving Nuclear Forces: Changes, Rationales and Implications","year":2017,"lang":"en","type":"article","venue":"Journal of military and strategic studies","topic":"Nuclear Issues and Defense","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Modernization theory; China; Credibility; Nuclear weapon; Nuclear force; Ballistic missile; Political science; Nuclear power; Beijing; Missile; Vulnerability (computing); Software deployment; Great power; Hegemony; Political economy; International trade; Business; Computer security; Law; Engineering; Computer science; Sociology; Physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.004005601,0.0003667117,0.0002218735,0.002359503,0.003151373,0.004688981,0.001170509,0.001565838,0.0020443],"category_scores_gemma":[0.003306477,0.0002030896,0.000245671,0.003360618,0.01122379,0.002745914,0.001916077,0.001935961,0.0001138606],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01928641,"about_ca_system_score_gemma":0.01104815,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05846255,"about_ca_topic_score_gemma":0.1033794,"domain_scores_codex":[0.9983348,0.0005428097,0.00009694007,0.0001941915,0.000418087,0.0004130822],"domain_scores_gemma":[0.9982958,0.0006421774,0.0002855522,0.0001053739,0.0004423597,0.0002287788],"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":[0.00006220378,0.00006485242,0.05037508,0.0002386683,0.0000437284,0.002274634,0.04642292,0.002516915,0.00120268,0.8205735,0.007203424,0.06902143],"study_design_scores_gemma":[0.00005218128,0.0002322595,0.280223,0.0008996146,0.00009502848,0.0009751727,0.1793135,0.009712874,0.003344478,0.2679292,0.2569185,0.0003041619],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7906913,0.005854824,0.003057625,0.07396718,0.0003997431,0.0001547162,0.0002294516,0.00004494734,0.1256003],"genre_scores_gemma":[0.9934381,0.001242206,0.0005972577,0.00107263,0.00004534232,0.0000295302,0.00003819867,0.000005297084,0.003531317],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05846255,"threshold_uncertainty_score":0.1399333,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08495824728322525,"score_gpt":0.3512848310641297,"score_spread":0.2663265837809045,"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."}}