{"id":"W4412454314","doi":"10.3390/drones9070497","title":"Latency Analysis of UAV-Assisted Vehicular Communications Using Personalized Federated Learning with Attention Mechanism","year":2025,"lang":"en","type":"article","venue":"Drones","topic":"UAV Applications and Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Latency (audio); Mechanism (biology); Computer science; Computer network; Human–computer interaction; Multimedia; Telecommunications","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":[0.00007232657,0.00007618462,0.0001644834,0.0002513532,0.000174108,0.00002758546,0.00008916554,0.00004945492,0.00002543957],"category_scores_gemma":[0.000005574568,0.00007440206,0.00005475604,0.001308567,0.00003011554,0.00006118324,0.00001995627,0.00007296116,0.000001345338],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004301216,"about_ca_system_score_gemma":0.00001442898,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009266815,"about_ca_topic_score_gemma":0.00007201899,"domain_scores_codex":[0.9995526,0.00003350026,0.0001709612,0.00009325524,0.00007143793,0.00007825421],"domain_scores_gemma":[0.9995757,0.00002277851,0.00005143601,0.0002199955,0.0001152421,0.00001487808],"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":[0.00001091125,0.00007654999,0.007350461,0.00006821399,0.00171921,4.942214e-7,0.0003600297,0.8983412,0.07734802,0.01263378,0.00001008021,0.002081007],"study_design_scores_gemma":[0.0001985252,0.000005769065,0.01381793,0.00003392656,0.0007695365,4.788499e-7,0.0002886154,0.9838627,0.0007420022,0.00006397739,0.0001383252,0.00007820669],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5958593,0.0002255476,0.4029087,0.00005739229,0.00001459864,0.0001080161,0.000003584971,0.000121187,0.000701734],"genre_scores_gemma":[0.9857824,0.0001011411,0.01369699,0.000005689185,0.000002476419,0.00002223824,0.0001982294,0.00001079459,0.0001800167],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3899232,"threshold_uncertainty_score":0.3034028,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01368266873899203,"score_gpt":0.2449810639911066,"score_spread":0.2312983952521146,"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."}}