{"id":"W4407304330","doi":"10.1109/jiot.2025.3540750","title":"Digital-Twin-Empowered Interference Management for Multihop Internet of Vehicles Networks Over Millimeter Wave Bands","year":2025,"lang":"en","type":"article","venue":"IEEE Internet of Things Journal","topic":"Telecommunications and Broadcasting Technologies","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; École de Technologie Supérieure","funders":"Science and Engineering Research Council","keywords":"Computer science; Extremely high frequency; Computer network; Interference (communication); Telecommunications; The Internet; World Wide Web","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":[0.0002195665,0.0001857067,0.0003077263,0.0003311927,0.00002581723,0.0001225083,0.0008059385,0.0001244184,0.00002635012],"category_scores_gemma":[0.00006322334,0.0001641247,0.0001921572,0.0001552804,0.0001029547,0.0002831767,0.0002346186,0.0003970617,0.000001217919],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007672794,"about_ca_system_score_gemma":0.000007562297,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001072679,"about_ca_topic_score_gemma":0.000001948651,"domain_scores_codex":[0.9988569,0.00001387858,0.0006493386,0.000138283,0.0001106595,0.0002309148],"domain_scores_gemma":[0.9991257,0.0001674149,0.0002117,0.0003417957,0.0001206534,0.00003278658],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004210104,0.0003440309,0.003987164,0.0008684212,0.002645319,0.00002052304,0.00236553,0.008596102,0.01152824,0.001730464,0.08554669,0.8819465],"study_design_scores_gemma":[0.001861304,0.0004249433,0.001935547,0.003772566,0.0001615828,0.00005961028,0.0005321351,0.8680969,0.1040138,0.003428111,0.01522035,0.0004931203],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.465246,0.0009785658,0.5282456,0.00009743522,0.0009967235,0.0001976765,0.000009494889,0.0001785286,0.004049959],"genre_scores_gemma":[0.9813242,0.0002476959,0.01705135,0.00003638197,0.00002314474,0.0000119908,0.000004236218,0.00002230865,0.001278698],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8814534,"threshold_uncertainty_score":0.669281,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01656483068166155,"score_gpt":0.2440080793193951,"score_spread":0.2274432486377336,"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."}}