{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009573436,0.0008831539,0.002669219,0.01157305,0.0005930083,0.003679477,0.001627253,0.001615775,0.003411185],"category_scores_gemma":[0.04088247,0.0006726226,0.00340881,0.01266674,0.001055793,0.004854957,0.002136107,0.001362939,0.0003547805],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002686394,"about_ca_system_score_gemma":0.01573554,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006026926,"about_ca_topic_score_gemma":0.01935127,"domain_scores_codex":[0.9929079,0.002798661,0.002072596,0.0004949451,0.001528936,0.0001971129],"domain_scores_gemma":[0.9566174,0.03411788,0.004277228,0.0007146582,0.003849603,0.0004233015],"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":[0.0001029059,0.00004244801,0.001337886,0.669805,0.001945344,0.0001962611,0.000882632,0.0004083717,0.0002442661,0.003783949,0.003539715,0.3177112],"study_design_scores_gemma":[0.00004775373,0.0002087439,0.003375426,0.8552386,0.01093359,0.0005896628,0.001453042,0.0002616091,0.0003646027,0.002219797,0.1252467,0.00006054966],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0008345547,0.9972438,0.0004995995,0.0004906681,0.00009913305,0.0001034372,0.0001535461,0.000007140581,0.0005682515],"genre_scores_gemma":[0.01033195,0.9873992,0.00140903,0.0004303365,0.00005278789,0.0001558894,0.0001316717,0.000005060936,0.00008405095],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01157305,"threshold_uncertainty_score":0.05062973,"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."}}