{"id":"W3185581403","doi":"10.51593/20200079","title":"The Huawei Moment","year":2021,"lang":"en","type":"report","venue":"","topic":"Globalization, Economics, and Policies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"McMaster University","keywords":"China; Position (finance); Business; Key (lock); Geopolitics; National security; International trade; Telecommunications; Industrial organization; Economy; Engineering; Computer security; Political science; Finance; Economics; Computer science; Politics","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0009891051,0.0002623519,0.0006428343,0.000124429,0.00029779,0.0003959622,0.000424257,0.0002826811,0.002194502],"category_scores_gemma":[0.0002074656,0.00025033,0.0003072752,0.0001446324,0.0000888573,0.00008222846,0.0001493328,0.0001917095,0.001571881],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000554423,"about_ca_system_score_gemma":0.0003286119,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002999872,"about_ca_topic_score_gemma":0.001220278,"domain_scores_codex":[0.9978503,0.00001314143,0.001160433,0.0004971989,0.00006686653,0.0004120547],"domain_scores_gemma":[0.9981183,0.00006857095,0.0007479765,0.0008097251,0.0001639842,0.00009146053],"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":[8.774905e-7,0.00001920446,0.006576748,0.00003408678,0.0001501607,0.000001515094,0.00008949709,0.00002300442,5.024421e-8,0.4799398,0.5126079,0.0005571722],"study_design_scores_gemma":[0.00009683423,0.00001126301,0.002940678,0.00001478029,0.000008863259,0.00001116708,0.00008619353,0.00006305204,0.000006124641,0.02049125,0.975963,0.000306764],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000398995,0.03124494,0.000543754,0.002008729,0.005787564,0.000199194,0.0004200511,0.00005098934,0.9593458],"genre_scores_gemma":[0.01126716,0.1671665,0.0001991117,0.001160277,0.0022335,0.0000959105,0.0005197242,0.0001099736,0.8172479],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4633551,"threshold_uncertainty_score":0.9999949,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07286313390050439,"score_gpt":0.2569757367381877,"score_spread":0.1841126028376833,"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."}}