{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001435274,0.0006478686,0.0007290696,0.0007568006,0.001366717,0.00271679,0.001139678,0.001239608,0.002223741],"category_scores_gemma":[0.008284814,0.0004262505,0.0003238144,0.001632504,0.001728835,0.005456855,0.002938051,0.001403641,0.0003760477],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001640968,"about_ca_system_score_gemma":0.001509188,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005320307,"about_ca_topic_score_gemma":0.004075555,"domain_scores_codex":[0.9990126,0.0003224298,0.00005593433,0.0002236275,0.0001851113,0.0002002482],"domain_scores_gemma":[0.9972199,0.001503863,0.0003173809,0.0003286082,0.0003610659,0.0002691374],"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":[0.0005879572,0.0001320973,0.003926788,0.0002077501,0.0000394157,0.000394663,0.0008350454,0.5591683,0.003552751,0.2302655,0.005285835,0.1956038],"study_design_scores_gemma":[0.00002448326,0.000163538,0.0008745855,0.00004255083,0.00003215332,0.0003432275,0.0006846965,0.8710489,0.004186841,0.1104238,0.01212787,0.00004741169],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1891975,0.003241744,0.7828933,0.001687464,0.0004884073,0.0001501037,0.0001477298,0.0003764121,0.02181739],"genre_scores_gemma":[0.8933769,0.001156975,0.09742095,0.0001411114,0.00008236108,0.00005963012,0.00009544845,0.00008731079,0.007579423],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005320307,"threshold_uncertainty_score":0.01190615,"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."}}