{"id":"W4408282017","doi":"10.1109/iecon55916.2024.10905260","title":"Digital Twin for Industrial Asset Management: A Case Study for Pipeline Maintenance","year":2024,"lang":"en","type":"article","venue":"","topic":"Technology Assessment and Management","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Asset management; Pipeline (software); Asset (computer security); Computer science; Maintenance engineering; Business; Reliability engineering; Engineering; Computer security; Operating system; Finance","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":[0.0008269977,0.0004168788,0.0002402804,0.0009643597,0.001129109,0.001211205,0.0009440878,0.001390016,0.00250006],"category_scores_gemma":[0.002040008,0.0001799575,0.0004037382,0.001060715,0.000803469,0.001641588,0.001122968,0.0006419607,0.0004082641],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001266005,"about_ca_system_score_gemma":0.0007607706,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006389081,"about_ca_topic_score_gemma":0.01203535,"domain_scores_codex":[0.9993054,0.0001994006,0.00003824324,0.00009321356,0.0002738688,0.00008990878],"domain_scores_gemma":[0.9990132,0.0003838362,0.00009037423,0.0001679739,0.0001852934,0.0001592367],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"case_report","study_design_scores_codex":[0.001294426,0.00223018,0.1237338,0.001572707,0.0001896436,0.06090892,0.02253023,0.1636922,0.05443373,0.03629704,0.03192274,0.5011943],"study_design_scores_gemma":[0.0001659964,0.002727907,0.1138755,0.0004225578,0.0002900682,0.02740391,0.03096024,0.4898759,0.08591203,0.0153429,0.232732,0.000290942],"study_design_candidate":"case_report","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9166323,0.0005715362,0.06557634,0.001064088,0.00007513072,0.0003242834,0.0005330137,0.0005926166,0.01463067],"genre_scores_gemma":[0.9556503,0.0003672138,0.0354169,0.0000694989,0.00001734701,0.00005225446,0.0003047654,0.00007258522,0.008049292],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006389081,"threshold_uncertainty_score":0.01270378,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02639219889894694,"score_gpt":0.2777259097514606,"score_spread":0.2513337108525137,"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."}}