{"id":"W3113081469","doi":"10.1142/9789811233630_0006","title":"Reversing NAFTA: A Supply Chain Perspective","year":2020,"lang":"en","type":"book-chapter","venue":"World Scientific Studies in International Economics","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Reversing; Perspective (graphical); Supply chain; Business; Computer science; Engineering; Marketing; Artificial intelligence; Mechanical engineering","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":[0.002605176,0.0007535905,0.0004465645,0.002315622,0.001648146,0.006700864,0.001412292,0.002573987,0.01208828],"category_scores_gemma":[0.005084316,0.0003415966,0.001091723,0.003478966,0.002232624,0.007424517,0.001399963,0.002365163,0.0008610069],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009289404,"about_ca_system_score_gemma":0.008232215,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1005486,"about_ca_topic_score_gemma":0.06503434,"domain_scores_codex":[0.9986375,0.0003536407,0.00006126301,0.0002150502,0.0003900315,0.0003425005],"domain_scores_gemma":[0.9970319,0.0008691212,0.0006947203,0.0001686566,0.001073167,0.000162393],"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":[0.00006048224,0.0001351077,0.02504419,0.000297532,0.0001056541,0.0009830883,0.001089139,0.0809987,0.0007814136,0.8454502,0.009878404,0.03517612],"study_design_scores_gemma":[0.00006760484,0.0002736352,0.0128118,0.0008563827,0.0001965636,0.0003956749,0.007584479,0.05169572,0.001476436,0.7031,0.2214365,0.0001052838],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.2803006,0.01842049,0.0726442,0.07731873,0.001297704,0.0003661101,0.003431554,0.0003814285,0.5458393],"genre_scores_gemma":[0.9587116,0.01133355,0.006960993,0.002935479,0.0002905299,0.00009255437,0.0009825953,0.00003949254,0.01865321],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1005486,"threshold_uncertainty_score":0.1999267,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1371046294258317,"score_gpt":0.2715380302349762,"score_spread":0.1344334008091445,"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."}}