{"id":"W4413640807","doi":"10.1016/j.cor.2025.107226","title":"Green horizons: Sustainable global logistics in dynamic supply chain management","year":2025,"lang":"en","type":"article","venue":"Computers & Operations Research","topic":"Supply Chain Resilience and Risk Management","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia, Okanagan Campus","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Supply chain; Supply chain management; Business; Computer science; Operations research; Mathematics; Marketing","routes":{"ca_aff":true,"ca_fund":true,"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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.001394044,0.0002097308,0.0002211565,0.001461291,0.0007487199,0.001042812,0.0009695876,0.00008131943,0.00008292682],"category_scores_gemma":[0.00009640848,0.000202179,0.00006407623,0.003935328,0.0002195037,0.0006987873,0.00156861,0.0003088948,0.0002747576],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000578864,"about_ca_system_score_gemma":0.0001053096,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007258189,"about_ca_topic_score_gemma":0.003971563,"domain_scores_codex":[0.9974261,0.00007823756,0.000388442,0.0005935178,0.0005923372,0.0009213449],"domain_scores_gemma":[0.9988809,0.00007466751,0.00002408711,0.0005889445,0.0004065552,0.00002481914],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000438197,0.000355942,0.01355313,0.0005651122,0.00006633744,0.0003972077,0.00007315794,0.07259023,0.000006812167,0.8301787,0.03571419,0.04645538],"study_design_scores_gemma":[0.001684479,0.00005117448,0.0495457,0.0002921021,0.00003272354,0.000001667014,0.008844827,0.7532341,0.000004400074,0.02911902,0.1567028,0.0004870756],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1813745,0.002041037,0.4816613,0.05829794,0.002556014,0.01004937,0.00002475611,0.0007158867,0.2632791],"genre_scores_gemma":[0.9788594,0.0002060397,0.001885094,0.001262153,0.0002071341,0.0003077817,0.00009647595,0.0000171246,0.01715878],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8010597,"threshold_uncertainty_score":0.9999942,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02154675919839895,"score_gpt":0.3326148025001318,"score_spread":0.3110680433017329,"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."}}