{"id":"W3200085239","doi":"10.31857/s268667300016435-8","title":"The Issue of U.S.-China Confrontation in Experts’ Discussions in the United States","year":2021,"lang":"en","type":"article","venue":"USA & Canada Economics – Politics – Culture","topic":"Arctic and Russian Policy Studies","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Christian Studies","funders":"","keywords":"China; Ideology; Criticism; State (computer science); Political science; Balance (ability); Power (physics); Public administration; Public relations; Sociology; Law; Politics; Psychology; Computer science","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":[0.02517959,0.0002883314,0.0004365337,0.001850264,0.02469457,0.01139851,0.001033643,0.009916385,0.003778001],"category_scores_gemma":[0.02280112,0.0002706037,0.0003423329,0.002867127,0.0178825,0.00652525,0.005386182,0.005819971,0.000236182],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01283075,"about_ca_system_score_gemma":0.01153288,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0472584,"about_ca_topic_score_gemma":0.05861989,"domain_scores_codex":[0.9841963,0.01140718,0.0004061325,0.0007664368,0.001328896,0.001894962],"domain_scores_gemma":[0.9691666,0.02561647,0.001072027,0.0004770886,0.001826044,0.001841843],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00008198269,0.0000371054,0.006031676,0.0001539078,0.00003240993,0.00127577,0.5150416,0.0002713985,0.0004712831,0.3938905,0.06111706,0.02159519],"study_design_scores_gemma":[0.00003547171,0.00004955192,0.01374942,0.0008049448,0.00004258668,0.0003024729,0.570731,0.000558914,0.0009452408,0.04514281,0.3675479,0.00008968957],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.3547286,0.01076654,0.0008373723,0.4517317,0.003169474,0.00002291379,0.00005077057,0.00002404817,0.1786685],"genre_scores_gemma":[0.9719352,0.00107196,0.0001374338,0.02175057,0.0005805989,0.00001657977,0.000008283947,0.00001308087,0.004486305],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0472584,"threshold_uncertainty_score":0.133164,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01490714640392251,"score_gpt":0.2808249627829886,"score_spread":0.2659178163790661,"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."}}