{"id":"W4416997348","doi":"10.2139/ssrn.5678763","title":"Cross-Border EDI Systems for U.S.-Canada-Mexico Freight Operations: Enhancing Data Integrity and Supply Chain Continuity","year":2025,"lang":"","type":"preprint","venue":"SSRN Electronic Journal","topic":"Law, logistics, and international trade","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Supply chain; Interoperability; Electronic data interchange; Product (mathematics); Quality (philosophy); Government (linguistics); Data exchange; Information flow; Work (physics)","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":[0.002968919,0.0003369375,0.000257524,0.001130499,0.001971958,0.003989092,0.001149579,0.0008351463,0.01022428],"category_scores_gemma":[0.008109789,0.0002053512,0.0001832109,0.001950656,0.0005852747,0.003782335,0.00276919,0.0007743078,0.001218303],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005404178,"about_ca_system_score_gemma":0.005164773,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1523515,"about_ca_topic_score_gemma":0.1414701,"domain_scores_codex":[0.9989575,0.0001870127,0.00008086123,0.0001958951,0.0003105889,0.000268098],"domain_scores_gemma":[0.995237,0.0006874879,0.0004773839,0.000989587,0.00232741,0.0002810917],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.005300542,0.0009579396,0.1835455,0.0003254917,0.0001686046,0.0007616964,0.003207042,0.05807859,0.01483164,0.02872986,0.03968623,0.664407],"study_design_scores_gemma":[0.0007430303,0.002254028,0.1597216,0.0005963439,0.0006356396,0.0007287241,0.01478362,0.5324629,0.07928843,0.0102062,0.1983741,0.0002054352],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8690338,0.001275699,0.05557567,0.003809137,0.000187785,0.0005064261,0.002898007,0.003512426,0.06320101],"genre_scores_gemma":[0.9739965,0.0003197042,0.01643619,0.0001674206,0.0000257264,0.00004395524,0.001466039,0.00009848178,0.007445982],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8476485,"threshold_uncertainty_score":0.3029294,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02336942286324838,"score_gpt":0.3185553088438964,"score_spread":0.295185885980648,"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."}}