{"id":"W4401100127","doi":"10.1016/j.sca.2024.100075","title":"Unlocking the potential of digital twins in supply chains: A systematic review","year":2024,"lang":"en","type":"review","venue":"Supply Chain Analytics","topic":"Digital Transformation in Industry","field":"Engineering","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure; University of Regina","funders":"","keywords":"Supply chain; Computer science; Business; Marketing","routes":{"ca_aff":true,"ca_fund":false,"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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000619253,0.0006799431,0.002864319,0.0005693994,0.00002917122,0.00026845,0.0008627845,0.0003639858,0.00004341948],"category_scores_gemma":[0.0001592522,0.0004542902,0.001009968,0.001692623,0.0000984869,0.0002892557,0.0001005986,0.001043759,0.0001975036],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003153119,"about_ca_system_score_gemma":0.0001752981,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003262938,"about_ca_topic_score_gemma":0.00000570585,"domain_scores_codex":[0.9961551,0.00008836586,0.002395337,0.0003013597,0.0005927617,0.0004670567],"domain_scores_gemma":[0.9985362,0.000220627,0.0002814992,0.0008009897,0.00006608765,0.00009464404],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[2.491192e-7,0.00001789309,6.46717e-7,0.9862266,0.0004636136,0.00004230483,0.0001015294,0.0006586431,2.089718e-8,0.0008692527,0.001584686,0.01003453],"study_design_scores_gemma":[0.00008570043,0.00001715965,1.175637e-7,0.8991508,0.00390002,0.0001320262,0.0002738276,0.006324572,3.213842e-7,0.0001188084,0.08946458,0.000532004],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[6.194717e-7,0.9911209,0.000380742,0.00008455813,0.0004806896,0.002259128,0.0008430267,0.0001779611,0.004652378],"genre_scores_gemma":[0.001699506,0.9967431,0.00001282903,0.00003240247,0.0001246319,0.0002344706,0.0003362971,0.0001508612,0.0006658699],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.0878799,"threshold_uncertainty_score":0.9997909,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02649060155873438,"score_gpt":0.2754868758162056,"score_spread":0.2489962742574713,"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."}}