{"id":"W4200188809","doi":"10.1007/978-3-030-81694-0_17","title":"Conclusion—NAFTA’s Impacts: Can the USMCA Do Better?","year":2021,"lang":"en","type":"book-chapter","venue":"Canada and international affairs","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Bishop's University; Université du Québec à Montréal","funders":"","keywords":"Successor cardinal; Free trade agreement; Stock (firearms); Economic integration; International trade; Investment (military); Economics; Work (physics); Political science; International economics; Economy; Free trade; Geography; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001110877,0.0002586973,0.0003776416,0.00008161709,0.0001334653,0.0001752847,0.0003997072,0.0001577721,0.002874968],"category_scores_gemma":[0.0000352474,0.0002503508,0.0001255097,0.00001922927,0.00008671114,0.00008723511,0.0001863938,0.0002816294,0.00005347643],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005936339,"about_ca_system_score_gemma":0.0002786215,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.09737319,"about_ca_topic_score_gemma":0.3703013,"domain_scores_codex":[0.9987461,0.000003302694,0.0005230101,0.0004330197,0.00006745242,0.0002270996],"domain_scores_gemma":[0.9991296,0.00005104736,0.0003358087,0.0002808076,0.0000549527,0.0001478067],"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":[0.00000661026,0.000004844149,0.001327986,0.00001346176,0.0002658574,0.00003758257,0.00006700424,0.000009988004,7.621759e-7,0.9407688,0.05644154,0.00105558],"study_design_scores_gemma":[0.0002074166,0.0000183222,0.001162675,0.00004873796,0.00001148323,0.00003613697,0.0001339703,0.00008319657,0.000002370542,0.0480952,0.9498932,0.0003073208],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.00349897,0.006050011,0.000009907352,0.01193367,0.002547315,0.0001269768,0.00271884,0.00001229921,0.973102],"genre_scores_gemma":[0.6410924,0.003897543,0.00005769566,0.005895385,0.0009085723,0.00001086559,0.0004490966,0.000064044,0.3476244],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8934516,"threshold_uncertainty_score":0.9999949,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02980829830341289,"score_gpt":0.1849147185885248,"score_spread":0.1551064202851119,"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."}}