{"id":"W4387177695","doi":"10.1007/s00158-023-03676-9","title":"Editorial: Special issue on advanced optimization enabling digital twin technology","year":2023,"lang":"en","type":"editorial","venue":"Structural and Multidisciplinary Optimization","topic":"Digital Transformation in Industry","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Engineering design process; Industrial engineering; Engineering; Systems engineering; Mechanical 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":[0.006842128,0.005234972,0.004617214,0.004873093,0.004228378,0.01039136,0.003550024,0.02252924,0.02856775],"category_scores_gemma":[0.02077054,0.001569122,0.003762297,0.002000161,0.0023339,0.003920652,0.002178047,0.01665568,0.0148151],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003296122,"about_ca_system_score_gemma":0.002830712,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001785098,"about_ca_topic_score_gemma":0.0068068,"domain_scores_codex":[0.9943281,0.0008529471,0.0005086011,0.0006779534,0.003224134,0.0004083499],"domain_scores_gemma":[0.9838547,0.006106055,0.001129404,0.0005541557,0.005880792,0.002474803],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002896282,0.00001299764,0.00001600043,0.0001051336,0.00001573219,0.00007924668,0.00000525896,0.00003717807,0.00005015482,0.0002267362,0.9968099,0.002612653],"study_design_scores_gemma":[0.0001027751,0.00003674767,0.0002998046,0.0003298383,0.00007364847,0.0001614665,0.00003077908,0.0004158203,0.0001237633,0.001855981,0.9965486,0.00002071473],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00002683349,0.002717509,0.0001396084,0.01860312,0.9764299,0.00001783652,0.00004293536,0.00003671703,0.001985587],"genre_scores_gemma":[0.0003301962,0.001755598,0.00009819823,0.009174274,0.9794964,0.00001843878,0.00002760847,0.00003789343,0.009061486],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.02856775,"threshold_uncertainty_score":0.09556866,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006016536452497606,"score_gpt":0.2414693733354456,"score_spread":0.235452836882948,"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."}}