{"id":"W4410394621","doi":"10.1109/tvt.2025.3570505","title":"Age of Information in Digital Twin Migration","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Age of Information Optimization","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009384425,0.00009382844,0.0001283089,0.001579061,0.00005232668,0.00006355134,0.0003755947,0.0001888638,0.000004721887],"category_scores_gemma":[0.00002181393,0.00009889513,0.00004664754,0.001671157,0.00006069643,0.001930523,0.000004415246,0.0001826333,0.00003435797],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008133864,"about_ca_system_score_gemma":0.00005821135,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001056828,"about_ca_topic_score_gemma":0.00002014907,"domain_scores_codex":[0.9992051,0.00001053236,0.0004050558,0.0001138635,0.0001398261,0.0001256921],"domain_scores_gemma":[0.9993781,0.00002623726,0.0001028498,0.0003602649,0.0001184525,0.00001411266],"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":[0.00002647338,0.0002476985,0.0002160412,0.00006598702,0.00004057051,0.000007687192,0.0008571161,0.5811058,0.001571135,0.07760952,0.0001287602,0.3381233],"study_design_scores_gemma":[0.00140518,0.0002061855,0.0005117834,0.00015614,0.00001212167,0.00001627198,0.0003434591,0.8379432,0.1441873,0.010325,0.004592523,0.0003008551],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03650201,0.000008960941,0.9605963,0.001285983,0.0001606221,0.0002049468,0.000004070837,0.0002334978,0.001003638],"genre_scores_gemma":[0.9829624,0.00001547548,0.01675999,0.0001383516,0.000001274403,0.00003889259,0.00001004998,0.000002448218,0.00007111974],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9464604,"threshold_uncertainty_score":0.4032826,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004111551057400613,"score_gpt":0.2064490834985464,"score_spread":0.2023375324411458,"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."}}