{"id":"W4385344656","doi":"10.4108/eai.19-5-2023.2334224","title":"The Research of USMCA","year":2023,"lang":"en","type":"article","venue":"","topic":"Global Political and Economic Relations","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Free trade agreement; Computer science; International trade; Political science; Regional science; Free trade; Geography; Business","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":[0.009547136,0.0004911417,0.0006270374,0.007053379,0.01081452,0.01240734,0.001125275,0.002756939,0.03305531],"category_scores_gemma":[0.03363867,0.0004276355,0.0005198288,0.01160256,0.006182478,0.007813915,0.004619754,0.005211955,0.003853838],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03361825,"about_ca_system_score_gemma":0.03616069,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1444769,"about_ca_topic_score_gemma":0.1350228,"domain_scores_codex":[0.9888191,0.004653015,0.0003794273,0.001557824,0.003379296,0.001211333],"domain_scores_gemma":[0.9768414,0.006230431,0.001128694,0.002277804,0.01180444,0.001717189],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002101251,0.0000285265,0.001502351,0.00008303019,0.00001105765,0.00005890019,0.002407469,0.0000642713,0.00007768792,0.7787746,0.1830744,0.03389671],"study_design_scores_gemma":[0.000003364172,0.000007220183,0.001605857,0.0003793082,0.000006227298,0.00003542667,0.001762126,0.000122902,0.0001409358,0.01764246,0.9782861,0.000007967525],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01044317,0.025862,0.001566118,0.1795895,0.004326526,0.00007426129,0.001479256,0.0001312018,0.7765281],"genre_scores_gemma":[0.410596,0.04480837,0.008161651,0.07077485,0.006089892,0.0006494367,0.002944874,0.0004628523,0.455512],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1444769,"threshold_uncertainty_score":0.2872719,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3337311755735968,"score_gpt":0.5049386711054368,"score_spread":0.1712074955318399,"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."}}