{"id":"W7113313032","doi":"","title":"AMERIKA SERIKAT DALAM RENEGOSIASI NORTH AMERICAN FREE TRADE AGREEMENT MENUJU UNITED STATE-MEXICO-CANADA AGREEMENT","year":2025,"lang":"id","type":"other","venue":"Andalas University eThesis (Andalas University)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Multilateralism; Free trade agreement; Alliance; International trade law; Government (linguistics)","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":[0.001094491,0.000334211,0.0002456377,0.001290399,0.003843789,0.004178006,0.0005535144,0.001092785,0.06831928],"category_scores_gemma":[0.001916496,0.0002047766,0.0002743163,0.002399122,0.0008159124,0.00105363,0.00145445,0.002016009,0.005832071],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01089289,"about_ca_system_score_gemma":0.02283703,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6036867,"about_ca_topic_score_gemma":0.7303576,"domain_scores_codex":[0.998841,0.00008218073,0.00002852667,0.0001502186,0.0005360817,0.0003619537],"domain_scores_gemma":[0.9981694,0.0002244998,0.0001139083,0.0001001696,0.001126958,0.0002650444],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003071033,0.000169401,0.04086836,0.0002603582,0.00005194149,0.0005442458,0.004573293,0.0002657495,0.003265796,0.1065499,0.7195089,0.123635],"study_design_scores_gemma":[0.00001461853,0.00001379693,0.02967187,0.00007973836,0.00001056572,0.00005055049,0.001791603,0.00006652726,0.0004080973,0.0007106732,0.9671689,0.00001311107],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.06905754,0.004179489,0.001725219,0.03183081,0.001347856,0.0002952071,0.01034401,0.0002801607,0.8809398],"genre_scores_gemma":[0.1783107,0.003698894,0.003367608,0.008713678,0.0002042445,0.0003129928,0.006133742,0.0001339317,0.7991242],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3963133,"threshold_uncertainty_score":0.7972944,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007698751773651603,"score_gpt":0.1812327341561212,"score_spread":0.1735339823824696,"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."}}