{"id":"W3081301666","doi":"10.5539/res.v12n3p88","title":"From Mutual Hedging to All-Round Competition — The Strategic Transformation of Sino-US relations","year":2020,"lang":"en","type":"article","venue":"Review of European Studies","topic":"International Relations and Foreign Policy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Competition (biology); Diplomacy; China; Variety (cybernetics); Realism; Administration (probate law); Political science; Strategic Choice; Economics; Economic system; Law; Politics; Epistemology","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":[0.002065388,0.0002163111,0.0001833946,0.001143734,0.00260681,0.004903148,0.0004038889,0.0009945896,0.0014864],"category_scores_gemma":[0.00108922,0.0001288076,0.0001723671,0.002610035,0.01405741,0.00513124,0.002305872,0.001594444,0.0001286358],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004210595,"about_ca_system_score_gemma":0.00519068,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007734444,"about_ca_topic_score_gemma":0.008599528,"domain_scores_codex":[0.9982175,0.001114964,0.00004329606,0.0001226894,0.0002896147,0.0002118523],"domain_scores_gemma":[0.999427,0.0003025858,0.00008965333,0.00004153932,0.00007076596,0.00006863492],"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":[0.000007188512,0.00001173452,0.0005680086,0.0001633434,0.000005763405,0.0001274164,0.01028516,0.0001762004,0.00009763728,0.9587309,0.001900153,0.02792645],"study_design_scores_gemma":[0.000009841858,0.00004612023,0.006823341,0.001420549,0.00001298937,0.0004130339,0.0557853,0.0005249446,0.0003576981,0.4661669,0.4684144,0.00002488],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1430376,0.160439,0.006780074,0.05888456,0.0008308606,0.00003081677,0.00003611197,0.00003375853,0.6299273],"genre_scores_gemma":[0.9547542,0.03716053,0.0006544766,0.002289001,0.0001577932,0.00001305754,0.00001550111,0.00000607133,0.004949383],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007734444,"threshold_uncertainty_score":0.03055012,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1483970395896939,"score_gpt":0.3943099070232157,"score_spread":0.2459128674335218,"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."}}