{"id":"W4412567135","doi":"10.1109/jiot.2025.3591381","title":"Segmented Learning for Metaverse Network Traffic Classification","year":2025,"lang":"en","type":"article","venue":"IEEE Internet of Things Journal","topic":"Internet Traffic Analysis and Secure E-voting","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Computer network; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001222606,0.0013074,0.001120145,0.001660004,0.0006330581,0.001437853,0.002227177,0.001521644,0.002394918],"category_scores_gemma":[0.002982516,0.0002857922,0.0007723664,0.001595221,0.0006174663,0.002876637,0.001821805,0.001718959,0.001365375],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009308325,"about_ca_system_score_gemma":0.001487688,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004158299,"about_ca_topic_score_gemma":0.005373445,"domain_scores_codex":[0.9991184,0.0001761008,0.00003784443,0.0002738554,0.0002085885,0.0001852777],"domain_scores_gemma":[0.9989346,0.0002993722,0.0000986727,0.0002728461,0.000303019,0.00009146486],"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":[0.0004090537,0.0008216263,0.01007249,0.00008509657,0.0001107875,0.0001518054,0.00015852,0.2181903,0.01030861,0.01436784,0.01127587,0.734048],"study_design_scores_gemma":[0.000006724536,0.00004848667,0.0003567367,0.00000502358,0.000007951934,0.00002466409,0.00002322572,0.9914184,0.002037405,0.005053092,0.001012041,0.000006377699],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04300207,0.000260941,0.9508066,0.0002525618,0.00007072225,0.00009202427,0.0003943408,0.003012409,0.002108379],"genre_scores_gemma":[0.7388144,0.0002074268,0.2508984,0.0003426925,0.0002129189,0.0002266754,0.003464769,0.000256029,0.005576698],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004158299,"threshold_uncertainty_score":0.008268178,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01855743726480828,"score_gpt":0.2648194204135506,"score_spread":0.2462619831487423,"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."}}