{"id":"W4414464286","doi":"10.1109/acdsa65407.2025.11166550","title":"Digital Twin Enabled Performance Optimization of Machine Tools: A Survey","year":2025,"lang":"en","type":"article","venue":"","topic":"Digital Transformation in Industry","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Machining; Machine tool; Process (computing); Control (management); Performance improvement; Identification (biology); Ideal (ethics); Work (physics); Process control","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":[0.0007071472,0.0007457383,0.0008658032,0.002506679,0.000291976,0.002009145,0.001316908,0.0008654321,0.003898556],"category_scores_gemma":[0.001610891,0.0005286045,0.0006320059,0.003610379,0.0004876289,0.001874389,0.0009160601,0.0007761812,0.00104052],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006393434,"about_ca_system_score_gemma":0.0006083945,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008081495,"about_ca_topic_score_gemma":0.0006338215,"domain_scores_codex":[0.9991804,0.00006758947,0.00006764712,0.0001570629,0.0004625642,0.00006482212],"domain_scores_gemma":[0.9991614,0.0004281622,0.00009755279,0.00007122544,0.0002025461,0.00003913096],"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":[0.0001415037,0.0001435566,0.001593143,0.004488384,0.00006084269,0.0001277719,0.0001229095,0.02043773,0.01348406,0.01718632,0.003886438,0.9383274],"study_design_scores_gemma":[0.00003996643,0.002501277,0.008424319,0.003328409,0.0002878417,0.002148714,0.0005285558,0.1255998,0.05783344,0.02003874,0.7790425,0.0002264767],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.03936334,0.8006715,0.1032613,0.0008337087,0.0003662283,0.00007573963,0.0002346164,0.0005926862,0.05460081],"genre_scores_gemma":[0.3310744,0.6012924,0.05130312,0.0004609239,0.0004742843,0.00009406453,0.0006122064,0.0002861111,0.01440251],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003898556,"threshold_uncertainty_score":0.01304197,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01662502066559019,"score_gpt":0.2158462322235807,"score_spread":0.1992212115579906,"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."}}