{"id":"W4407235585","doi":"10.1016/b978-0-443-34226-4.00026-5","title":"Enhancing hospital operations efficiency through digital twin technology","year":2025,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Digital Transformation in Industry","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"General Dynamics (Canada)","funders":"","keywords":"Computer science","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":[0.00004669358,0.0004969068,0.00043832,0.0003294152,0.0001187089,0.0002567725,0.0004288116,0.0007391183,0.0001303506],"category_scores_gemma":[0.00002563565,0.000541812,0.0001830797,0.0000660478,0.00017,0.0004029299,0.00009250332,0.0008695875,0.0004982531],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001774519,"about_ca_system_score_gemma":0.0001224928,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":9.088411e-8,"about_ca_topic_score_gemma":0.000003227236,"domain_scores_codex":[0.9983695,0.000002565005,0.00066196,0.0003386102,0.0002567514,0.0003706465],"domain_scores_gemma":[0.9992259,0.00003878039,0.00004470486,0.0005242408,0.000102473,0.00006391423],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001138707,0.00001461541,0.000001814457,0.0002696818,0.0001686503,0.00002043802,0.000551605,0.0009059326,0.00002841783,0.07205284,0.0005889713,0.9253959],"study_design_scores_gemma":[0.0001782831,0.00004788276,3.899409e-7,0.0008637117,0.00004652506,0.0000138993,0.00007192358,0.0001462326,0.00111996,0.006928881,0.989944,0.0006382966],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00009816873,0.0005713364,0.002256573,0.00007970122,0.001084837,0.000562976,0.0002218296,0.001028027,0.9940966],"genre_scores_gemma":[0.02689449,0.0000491788,0.0006119995,0.00005755684,0.0001729483,0.0000921367,0.00009317212,0.0001127278,0.9719158],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.989355,"threshold_uncertainty_score":0.9997033,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007323343009230005,"score_gpt":0.2126729191266146,"score_spread":0.2053495761173846,"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."}}