{"id":"W7124808158","doi":"10.33545/26633582.2023.v5.i2a.251","title":"Digital twin-based design and simulation frameworks for manufacturing engineering enabling virtual prototyping and lifecycle optimization","year":2023,"lang":"","type":"article","venue":"International Journal of Engineering in Computer Science","topic":"Digital Transformation in Industry","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Virtual prototyping; System lifecycle; Enabling; Process (computing); Digital manufacturing; Reliability (semiconductor); Engineering design process; Product lifecycle; Concurrent 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001662976,0.001206131,0.0009408551,0.001287137,0.0007040576,0.002807554,0.002433968,0.001375532,0.005412146],"category_scores_gemma":[0.002448549,0.0007970637,0.001853297,0.0008111166,0.001861848,0.001881508,0.00303553,0.001911916,0.0009162932],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001550026,"about_ca_system_score_gemma":0.002390474,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006081057,"about_ca_topic_score_gemma":0.006595652,"domain_scores_codex":[0.9989158,0.0002895037,0.00008235935,0.0001190335,0.0004984285,0.00009486494],"domain_scores_gemma":[0.9992095,0.0002759826,0.00007855093,0.0001979159,0.0001689284,0.00006911348],"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":[0.00003913662,0.00003108945,0.0004170952,0.0001115029,0.00003092798,0.00007916771,0.0001212401,0.8299935,0.002962558,0.1434435,0.001077589,0.02169273],"study_design_scores_gemma":[0.00001487598,0.00002468786,0.00006410052,0.00003059268,0.00001302003,0.0000354686,0.00002089449,0.9593464,0.001353008,0.0238269,0.01525471,0.00001541251],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002233101,0.0001496247,0.9923723,0.0001098165,0.00004484598,0.00004990065,0.00008403058,0.000734554,0.004221877],"genre_scores_gemma":[0.1783904,0.001059492,0.8137184,0.0001534486,0.00005071763,0.0005547671,0.0006638183,0.0004592804,0.00494974],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006081057,"threshold_uncertainty_score":0.01810539,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01669384793622843,"score_gpt":0.2507849941059748,"score_spread":0.2340911461697464,"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."}}