{"id":"W4415934275","doi":"10.1109/nof66640.2025.11223322","title":"Prefetching Location-Based Metaverse Assets over Named Data Networking","year":2025,"lang":"","type":"article","venue":"","topic":"Caching and Content Delivery","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Instruction prefetch; sync; Bandwidth (computing); Latency (audio); Set (abstract data type); Namespace","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":[0.0006560736,0.0003748969,0.000572042,0.0005747703,0.0008266707,0.001298641,0.001356715,0.0007943814,0.001339457],"category_scores_gemma":[0.002691925,0.0003451158,0.0002710435,0.001148977,0.0004319864,0.003212338,0.001534403,0.0005071798,0.0003944551],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000983167,"about_ca_system_score_gemma":0.001000346,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006303023,"about_ca_topic_score_gemma":0.01119275,"domain_scores_codex":[0.9996542,0.00007634214,0.00002651549,0.00006841836,0.0001147762,0.00005978681],"domain_scores_gemma":[0.998185,0.0004454885,0.0001372122,0.0007502324,0.0003459355,0.0001361991],"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":[0.00197257,0.0004733267,0.03140119,0.0003118872,0.000203191,0.001326122,0.001107426,0.4810677,0.07392992,0.04932031,0.01970848,0.3391778],"study_design_scores_gemma":[0.00002078065,0.0001002825,0.0009992957,0.00001232833,0.00002382078,0.0001105128,0.00008250887,0.97865,0.01141088,0.004674321,0.003894746,0.00002051995],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.51542,0.0009884874,0.4638393,0.0005844741,0.0001545687,0.0001906426,0.0004412967,0.007838899,0.01054235],"genre_scores_gemma":[0.9305233,0.0002365983,0.0655724,0.00007250073,0.00003366386,0.00004316066,0.0003771545,0.0001072272,0.003034103],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006303023,"threshold_uncertainty_score":0.01253265,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05349731514402617,"score_gpt":0.3038254274321793,"score_spread":0.2503281122881532,"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."}}