{"id":"W4388851159","doi":"10.1177/10245294231207990","title":"Avoiding the China shock: How Chinese state-backed internationalization drives changes in European economic governance","year":2023,"lang":"en","type":"article","venue":"Competition & Change","topic":"Social Policy and Reform Studies","field":"Social Sciences","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Toronto; Deutsche Forschungsgemeinschaft","keywords":"Internationalization; Corporate governance; European union; Competition (biology); China; Foreign direct investment; Economic system; State (computer science); Shock (circulatory); International trade; Economics; Political science; Political economy; Market economy; International economics","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":[0.0008263194,0.0001019748,0.0001139208,0.00008096799,0.0008605648,0.00009597137,0.0002332963,0.00003065886,0.00005410306],"category_scores_gemma":[0.0001934075,0.00007580269,0.00004352814,0.000372759,0.0001974138,0.000255233,0.0001001508,0.0001317031,0.0001397752],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001755348,"about_ca_system_score_gemma":0.00002203253,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001328605,"about_ca_topic_score_gemma":0.03560342,"domain_scores_codex":[0.9988986,0.000401963,0.0001086244,0.0001636333,0.0001850774,0.0002421466],"domain_scores_gemma":[0.999617,0.0001300259,0.0001130514,0.00008116227,0.00002897253,0.00002972996],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00002930902,0.0000703757,0.06462416,0.00005754745,0.00006983445,0.00002832323,0.544073,0.0001479507,0.0002157346,0.3695845,0.004396117,0.01670307],"study_design_scores_gemma":[0.0003176068,0.00001911977,0.9545606,0.00009877492,0.00000417869,7.20008e-7,0.01162708,0.0003895584,0.00002750274,0.01120603,0.02154696,0.0002019167],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8896501,0.0002120111,0.00003008148,0.08344129,0.001296096,0.0004172697,0.00006891732,0.0002135922,0.02467064],"genre_scores_gemma":[0.9896352,0.005960173,0.000002686161,0.0004147807,0.001814689,0.00006156968,0.00004339333,0.00001429534,0.002053208],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8899364,"threshold_uncertainty_score":0.9819943,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0451909515922315,"score_gpt":0.3127494264528037,"score_spread":0.2675584748605722,"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."}}