{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001408427,0.0001616566,0.000328244,0.0002456015,0.0001505336,0.0002908738,0.001017352,0.00009172426,0.00002561798],"category_scores_gemma":[0.0001329162,0.0001413555,0.0003812074,0.0003341378,0.00004104542,0.000515737,0.00007554992,0.0005003908,0.000008587538],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009404695,"about_ca_system_score_gemma":0.00007810206,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004555788,"about_ca_topic_score_gemma":0.000004102409,"domain_scores_codex":[0.9982887,0.0001325573,0.0006991258,0.0002805872,0.0002784863,0.0003205304],"domain_scores_gemma":[0.9986588,0.0002022161,0.0005894494,0.0001394242,0.0003413344,0.00006877344],"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":[0.000180697,0.000254221,0.0003194053,0.0001147829,0.001578387,0.00002212769,0.008502311,0.5914513,0.002335463,0.2242976,0.0588415,0.1121023],"study_design_scores_gemma":[0.0004272212,0.0001208757,0.00005262901,0.000237596,0.00007854347,0.00003177323,0.0001831681,0.9904342,0.0009866112,0.000153181,0.007173801,0.0001203637],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07012489,0.0001498169,0.9268473,0.0004460155,0.00159606,0.00009958923,1.640389e-7,0.00006650257,0.0006696294],"genre_scores_gemma":[0.9712577,0.00001808887,0.02546085,0.0003281861,0.0001872799,0.000004972077,0.000001874968,0.000009295598,0.002731772],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9013865,"threshold_uncertainty_score":0.5764309,"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."}}