{"id":"W4410327663","doi":"10.23952/jnva.9.2025.4.09","title":"A unified variational framework for global agricultural supply chains under uncertain exchange rates: New classes of cost and price functions","year":2025,"lang":"en","type":"article","venue":"Journal of Nonlinear and Variational Analysis","topic":"Economic theories and models","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Gruppo Nazionale per l'Analisi Matematica, la Probabilità e le loro Applicazioni; European Commission; Università di Catania; Istituto Nazionale di Alta Matematica \"Francesco Severi\"","keywords":"Supply chain; Agriculture; Economics; Exchange rate; Mathematical optimization; Mathematical economics; Mathematics; Business; Monetary economics; Biology; Ecology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004618201,0.0001123726,0.0004673636,0.0002706522,0.0001121657,0.00006879364,0.00009403968,0.0001041314,0.0001460481],"category_scores_gemma":[0.0002025171,0.0001004751,0.0002248553,0.0005632067,0.00003405689,0.000198788,0.00003126231,0.00009452026,0.00000102174],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001025068,"about_ca_system_score_gemma":0.0001446584,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001391683,"about_ca_topic_score_gemma":0.00008500102,"domain_scores_codex":[0.9989251,0.00001725249,0.0007070205,0.0001793851,0.00004462532,0.0001265756],"domain_scores_gemma":[0.9985622,0.0003842492,0.0006645564,0.00008056041,0.0002225397,0.0000859194],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00008598884,0.00007878729,0.02776029,0.00002311489,0.001675936,1.713928e-7,0.0001326355,0.01184479,0.000003836628,0.9578571,0.0003277652,0.000209588],"study_design_scores_gemma":[0.001350218,0.0001124131,0.4025119,0.0000308543,0.0006481005,0.000005653489,0.0004212474,0.07584997,0.000003511977,0.5122435,0.00664507,0.0001775844],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03942785,0.001348759,0.9519645,0.005168896,0.0002384145,0.0001370078,0.001023639,0.000003927503,0.0006870242],"genre_scores_gemma":[0.9275392,0.0007249479,0.06781631,0.0005400067,0.0006040868,0.00001000857,0.0002072158,0.000008036559,0.002550188],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8881114,"threshold_uncertainty_score":0.4097254,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03405834121885826,"score_gpt":0.2811714844981984,"score_spread":0.2471131432793401,"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."}}