{"id":"W7035888246","doi":"","title":"ANALISIS UNITED STATE-MEXICO-CANADA AGREEMENT (USMCA) SEBAGAI STRATEGI AMERIKA SERIKAT UNTUK MEWUJUDKAN SURPLUS NERACA PERDAGANGAN PADA MASA PEMERINTAHAN PRESIDEN DONALD TRUMP","year":2024,"lang":"en","type":"dissertation","venue":"UMM Institutional Repository (University of Maine at Machias)","topic":"Botanical Studies and Applications","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Trade war; Trade barrier; Government (linguistics); Balance of trade; Free trade agreement; Comparative advantage; Intervention (counseling)","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":[0.002372778,0.0001594024,0.0001745755,0.004312832,0.004779675,0.004203475,0.0004804861,0.0005115082,0.005604825],"category_scores_gemma":[0.00633064,0.0001049934,0.0001691881,0.00809556,0.001100929,0.00141728,0.001072877,0.0009179115,0.0002767378],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02541917,"about_ca_system_score_gemma":0.02909579,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7947561,"about_ca_topic_score_gemma":0.8450791,"domain_scores_codex":[0.9977077,0.0002274234,0.0000872969,0.0001723933,0.001249102,0.0005560837],"domain_scores_gemma":[0.9944624,0.001411607,0.000566457,0.00009685486,0.003142103,0.0003205544],"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":[0.0001380359,0.000127475,0.4107041,0.0008557076,0.00008201388,0.001139526,0.09139491,0.0009079654,0.001418116,0.2557265,0.08938999,0.1481156],"study_design_scores_gemma":[0.000008267156,0.00002901852,0.4704318,0.000544837,0.00004756176,0.0001795961,0.2007929,0.0008859937,0.001385817,0.002748779,0.3229091,0.00003640683],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7077705,0.002563604,0.001356073,0.008188307,0.000134471,0.0003344176,0.007029419,0.00005249369,0.2725708],"genre_scores_gemma":[0.9578195,0.00243605,0.002116955,0.0007350715,0.00002186739,0.0001723619,0.003252332,0.00002967129,0.03341625],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2052439,"threshold_uncertainty_score":0.4129052,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009122281567894715,"score_gpt":0.188799862589969,"score_spread":0.1796775810220743,"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."}}