{"id":"W4389614092","doi":"10.1177/00207020231217117","title":"China's Technical Standardization Power—a Challenge for NATO?","year":2023,"lang":"en","type":"article","venue":"International Journal Canada s Journal of Global Policy Analysis","topic":"Technology Assessment and Management","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministère de la Défense Nationale","keywords":"Standardization; China; Geopolitics; Globalization; Political science; Great power; Power (physics); Computer security; International trade; Business; Public administration; Computer science; Law","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005077684,0.0001611506,0.0003345047,0.0009110149,0.00009428203,0.0001079995,0.0007015293,0.0000918618,0.00006390103],"category_scores_gemma":[0.000196829,0.0001495311,0.0003838712,0.001401713,0.00002925953,0.000238418,0.00006110944,0.000282735,0.000001454493],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002069034,"about_ca_system_score_gemma":0.0005318247,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006261908,"about_ca_topic_score_gemma":0.1091644,"domain_scores_codex":[0.9979574,0.00002569432,0.0006677693,0.0001007783,0.0009522321,0.0002961409],"domain_scores_gemma":[0.9988233,0.00003312583,0.0003241393,0.0001163894,0.0005447721,0.0001582387],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001748221,0.00008332302,0.002180197,0.00002439903,0.01576646,0.000959168,0.00006204232,0.4300295,0.0001905098,0.04142857,0.4917623,0.01733867],"study_design_scores_gemma":[0.003541272,0.0004889414,0.1181367,0.0001256332,0.002467477,0.00114654,0.0005338043,0.02680607,0.0002254511,0.04725269,0.7983994,0.0008760854],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1702129,0.00211378,0.5584641,0.2519267,0.007645963,0.0003628522,0.0010282,0.000450411,0.00779504],"genre_scores_gemma":[0.9979389,0.0006050241,0.000651966,0.0002171056,0.0005066447,0.000003074951,0.00001535699,0.00001447204,0.00004749771],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8277259,"threshold_uncertainty_score":0.9466172,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005208653976154788,"score_gpt":0.2892066491110495,"score_spread":0.2839979951348947,"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."}}