{"id":"W4296250344","doi":"10.1007/978-3-031-16407-1_59","title":"A Survey of Digital Supply Chain Twins’ Implementations","year":2022,"lang":"en","type":"book-chapter","venue":"IFIP advances in information and communication technology","topic":"Supply Chain Resilience and Risk Management","field":"Business, Management and Accounting","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"Cape Breton University","funders":"","keywords":"Implementation; Supply chain; Automotive industry; Context (archaeology); Resilience (materials science); Business; Risk analysis (engineering); Work (physics); Engineering; Computer science; Process management; Marketing; Software engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.0003762116,0.0001906449,0.000275846,0.001547409,0.0001818256,0.0001068173,0.0006493807,0.0001340922,0.0006206901],"category_scores_gemma":[0.000103669,0.0002005253,0.00003891353,0.0004021959,0.0002551111,0.003241366,0.000828508,0.0003255162,0.00005114479],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005903501,"about_ca_system_score_gemma":0.00002907361,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002818521,"about_ca_topic_score_gemma":0.0008925528,"domain_scores_codex":[0.9987034,0.00000865499,0.0007541231,0.0001466419,0.0002291795,0.0001579607],"domain_scores_gemma":[0.9983207,0.00009378835,0.0008064082,0.0005975168,0.0001748419,0.000006731364],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001815686,0.00001974329,0.0103116,0.0001074685,0.00001327531,3.84975e-7,0.00009115769,0.000100344,1.979624e-7,0.7882991,0.0004664494,0.2005721],"study_design_scores_gemma":[0.0004448389,0.00001979184,0.001973554,0.00005891356,0.00001355886,0.000001331775,0.001384595,0.0004591895,0.000001659121,0.07022706,0.9251947,0.0002208063],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.002576566,0.01140916,0.0007699387,0.003398087,0.0003079447,0.001688291,0.0003097476,0.0003422805,0.979198],"genre_scores_gemma":[0.9510521,0.03524184,0.000392459,0.001056254,0.00003540405,0.000353616,0.005617891,0.00004291849,0.0062075],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9729905,"threshold_uncertainty_score":0.8177184,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01507055860820914,"score_gpt":0.2628229468321923,"score_spread":0.2477523882239832,"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."}}