{"id":"W4388550734","doi":"10.1016/j.aei.2023.102245","title":"Multiobjective optimization-based decision support for building digital twin maturity measurement","year":2023,"lang":"en","type":"article","venue":"Advanced Engineering Informatics","topic":"Digital Transformation in Industry","field":"Engineering","cited_by":30,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"National Natural Science Foundation of China","keywords":"Maturity (psychological); Standardization; Capability Maturity Model; Systems engineering; Engineering; Computer science; Process management; Risk analysis (engineering); Knowledge management; Business","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":[0.002211262,0.001537066,0.001694769,0.001697464,0.0005864869,0.002101966,0.001285998,0.001543643,0.003683356],"category_scores_gemma":[0.004424106,0.0006921897,0.001309075,0.001113888,0.0004817076,0.001170921,0.00165173,0.001580443,0.0004876279],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001050775,"about_ca_system_score_gemma":0.001904407,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009601314,"about_ca_topic_score_gemma":0.006448087,"domain_scores_codex":[0.998952,0.000413498,0.00006657171,0.0002069959,0.000219042,0.0001419044],"domain_scores_gemma":[0.997577,0.001622819,0.0001998407,0.00008486615,0.0003992698,0.0001162712],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007962321,0.00009550222,0.0006986819,0.0000635427,0.00004972198,0.00003379475,0.00003017203,0.9645665,0.001078584,0.001872947,0.0004043468,0.03102669],"study_design_scores_gemma":[0.000002968578,0.00001185794,0.00004773347,0.0000032856,0.000003408221,0.000001690174,0.00000499998,0.9991737,0.0001868089,0.0005039889,0.00005775938,0.000001775463],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03843064,0.0001273073,0.9573962,0.0002051358,0.00003262611,0.0001114012,0.0001817321,0.0007055192,0.00280938],"genre_scores_gemma":[0.713101,0.00008829772,0.2845562,0.0001311688,0.0000300525,0.0002812736,0.0004377449,0.0001165843,0.001257701],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009601314,"threshold_uncertainty_score":0.01909089,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0139164565316413,"score_gpt":0.2322927445359572,"score_spread":0.2183762880043159,"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."}}