{"id":"W3122438412","doi":"","title":"Soft Balancing in the Age of U.S. Primacy","year":2005,"lang":"en","type":"article","venue":"Project Muse (Johns Hopkins University)","topic":"International Relations and Foreign Policy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Soft power; Hard power; Sovereignty; Cold war; China; Political science; Intervention (counseling); Balance (ability); Power (physics); State (computer science); Political economy; Great power; Development economics; Economy; International trade; Economics; Law; Psychology; Politics","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":[0.005758245,0.0003272381,0.000532121,0.002192271,0.01279923,0.01077656,0.0005375925,0.003262496,0.01033723],"category_scores_gemma":[0.01193214,0.0003840612,0.0002285882,0.001585342,0.02034666,0.01056175,0.009540442,0.006643167,0.001369249],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005879993,"about_ca_system_score_gemma":0.003350033,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01092482,"about_ca_topic_score_gemma":0.01246249,"domain_scores_codex":[0.9976597,0.0008616975,0.00007300857,0.0004870616,0.0003775159,0.0005410278],"domain_scores_gemma":[0.9968964,0.001353135,0.0003609116,0.0004031331,0.0003930037,0.0005934368],"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":[0.00002173953,0.00001318085,0.0008191819,0.00001187476,0.000003461082,0.0001395868,0.01275276,0.00006087962,0.000080636,0.9603064,0.007653046,0.01813734],"study_design_scores_gemma":[0.0000177924,0.00002731787,0.001789917,0.0001658488,0.000005399176,0.0001540302,0.007792677,0.0002461602,0.000238014,0.6987184,0.2908278,0.00001674419],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1259739,0.009259393,0.004230687,0.1060021,0.001226141,0.00002497879,0.00007024777,0.00007690651,0.7531357],"genre_scores_gemma":[0.9716254,0.001389285,0.0008025685,0.009445603,0.0004677949,0.00002926753,0.00002495888,0.00005117333,0.01616391],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01279923,"threshold_uncertainty_score":0.04266256,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02152867535173236,"score_gpt":0.2737227405515382,"score_spread":0.2521940651998059,"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."}}