{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001467629,0.0004589082,0.000537238,0.00003342515,0.001753125,0.00007848656,0.0006606903,0.0002314495,0.001144218],"category_scores_gemma":[0.00001616643,0.000298602,0.0003323239,0.0007509429,0.0002601674,0.0001636667,0.0002266291,0.0004592314,0.00003302874],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006229192,"about_ca_system_score_gemma":0.0002935427,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.4872434,"about_ca_topic_score_gemma":0.8602542,"domain_scores_codex":[0.9972765,0.0001214235,0.0004824387,0.0007894416,0.0009039423,0.0004262138],"domain_scores_gemma":[0.9986366,0.0001355691,0.0004488525,0.0001982304,0.0002900758,0.0002906635],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.01341936,0.004706538,0.080516,0.005211336,0.01722431,0.009242965,0.008935883,0.03053212,0.2990934,0.03763281,0.3162584,0.1772269],"study_design_scores_gemma":[0.0006996301,0.000570569,0.6096324,0.0004512712,0.0007417295,0.00008758396,0.02342836,0.00143986,0.002146253,0.0003730198,0.3588392,0.001590202],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9860912,0.0007813509,0.000006982474,0.00253994,0.00056577,0.0004540186,0.001174091,0.00007224727,0.008314415],"genre_scores_gemma":[0.9832891,0.0005088483,0.00007659917,0.0001942488,0.0002293937,0.000004738762,0.006361137,0.000005259498,0.009330632],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5291164,"threshold_uncertainty_score":0.9999466,"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."}}