{"id":"W4412055928","doi":"10.1142/s219456592550006x","title":"TRUMP’S TRADE WAR: EU EXPORTS AT RISK AND ALTERNATIVE MARKETS","year":2025,"lang":"en","type":"article","venue":"Global economy journal","topic":"Global Trade and Competitiveness","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Economics; International trade; International economics; Trade war; China; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000312942,0.0002107135,0.0002564877,0.0001081449,0.0004073374,0.0003730455,0.0002464308,0.00006294705,0.0003912549],"category_scores_gemma":[0.00003196735,0.0001978563,0.0001247987,0.0002005446,0.00007270538,0.0009067587,0.0002079886,0.0001895713,0.00008064797],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001879623,"about_ca_system_score_gemma":0.0000423959,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001077519,"about_ca_topic_score_gemma":0.00006736082,"domain_scores_codex":[0.9988999,0.00002542945,0.0003398968,0.0002840042,0.0001043035,0.0003464569],"domain_scores_gemma":[0.9994587,0.00002575041,0.0002939242,0.0001300076,0.00005051905,0.0000411302],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002768685,0.0001164326,0.8420657,0.00008781732,0.0002953868,0.0002379575,0.00002720145,0.00007910997,0.00000525423,0.0845854,0.02231011,0.04991277],"study_design_scores_gemma":[0.001027755,0.00000807261,0.3709438,0.00007632054,0.00007949494,0.0001287808,0.0001681573,0.0003965819,0.000013732,0.04607011,0.5808904,0.0001968085],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6195602,0.001070003,0.0003984742,0.0034038,0.001082301,0.0001487119,0.00001801897,0.00004731113,0.3742712],"genre_scores_gemma":[0.9945407,0.0002625735,0.00007461831,0.00414026,0.0007484969,0.000006416106,0.000005569124,0.000007527103,0.0002138608],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5585803,"threshold_uncertainty_score":0.8068345,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00783437542979254,"score_gpt":0.2065950279343934,"score_spread":0.1987606525046009,"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."}}