{"id":"W4408744678","doi":"10.5267/j.uscm.2025.2.001","title":"Digital twin applications in supply chain management: A systematic literature review","year":2025,"lang":"en","type":"article","venue":"Uncertain Supply Chain Management","topic":"Digital Transformation in Industry","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Supply chain; Supply chain management; Business; Computer science; Chain (unit); Systematic review; Process management; Operations management; Marketing; Economics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005052656,0.0004950685,0.0006008166,0.000923342,0.0000885152,0.0004522987,0.0007628871,0.0001440348,0.0000778933],"category_scores_gemma":[0.00001731767,0.0004870031,0.0001778762,0.00257626,0.00005020682,0.0006258094,0.0001547218,0.0003556873,0.0001615468],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004299641,"about_ca_system_score_gemma":0.00001152405,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000199531,"about_ca_topic_score_gemma":0.000005482849,"domain_scores_codex":[0.997301,0.00006068511,0.001090538,0.0004806185,0.000464053,0.0006030555],"domain_scores_gemma":[0.9987395,0.0001094079,0.00008292316,0.0009070659,0.00005315904,0.0001079222],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001311233,0.0002848938,0.0009125991,0.6949989,0.0007910291,0.0002240675,0.0007298468,0.01767221,0.000002612661,0.2026244,0.05309608,0.02865032],"study_design_scores_gemma":[0.003318924,0.00005771638,0.001336593,0.4349146,0.0006331262,0.00002737276,0.007492655,0.01754331,0.00005332178,0.008804718,0.5234306,0.002386956],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0001982037,0.04626081,0.03859413,0.00214578,0.0005459652,0.01332535,0.000320626,0.001207048,0.8974021],"genre_scores_gemma":[0.758146,0.08534046,0.004491214,0.00492281,0.0002248929,0.0289516,0.003769351,0.0003595093,0.1137941],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.783608,"threshold_uncertainty_score":0.9997582,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007427236529580712,"score_gpt":0.2274680700744097,"score_spread":0.220040833544829,"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."}}