{"id":"W7006400413","doi":"","title":"Trade Wars, COVID-19, USMCA, and Protectionism: Exogenous Factor Influence on U.S- Mexico Supply Chains in the Automotive Industry","year":2023,"lang":"en","type":"article","venue":"Digital Commons - DU (University of Denver)","topic":"Biological and pharmacological studies of plants","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Protectionism; Automotive industry; China; General motors; Trade barrier; Supply chain; Free trade; Intra-industry trade; Sample (material); Auto industry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001588478,0.0003132483,0.0002860064,0.002986318,0.001869246,0.005418835,0.0003828406,0.0006536872,0.01180195],"category_scores_gemma":[0.0115737,0.0002169415,0.0004285219,0.004638371,0.001308657,0.002007894,0.002009147,0.001226671,0.000906374],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003157062,"about_ca_system_score_gemma":0.002072628,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06357858,"about_ca_topic_score_gemma":0.04539906,"domain_scores_codex":[0.9984791,0.0003540526,0.0001223287,0.0002636669,0.0003755538,0.0004053175],"domain_scores_gemma":[0.9850909,0.005819006,0.006201701,0.000477881,0.00136011,0.001050535],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000138237,0.0001009679,0.9855719,0.00006976836,0.00009129968,0.0003031143,0.00408506,0.0001820804,0.0002010886,0.001596741,0.001170455,0.006489413],"study_design_scores_gemma":[0.000006281107,0.0000396798,0.98029,0.000100758,0.00004581592,0.00005494697,0.01280717,0.000330483,0.0001838462,0.0002246272,0.005908316,0.000008105289],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.983228,0.0005851777,0.0001451921,0.0007195997,0.00002845084,0.0000351571,0.0006493702,0.00001019479,0.0145988],"genre_scores_gemma":[0.9953554,0.0005497862,0.0001224796,0.0001229659,0.00005157004,0.00003501938,0.0007128307,0.0000124638,0.003037431],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06357858,"threshold_uncertainty_score":0.126417,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05535139048370387,"score_gpt":0.2686865348046694,"score_spread":0.2133351443209656,"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."}}