{"id":"W4306763796","doi":"10.1145/3551661.3561373","title":"Modeling of Edge Server Cache-Reservation for Virtual Reality Applications","year":2022,"lang":"en","type":"article","venue":"","topic":"Caching and Content Delivery","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Cache; Computer network; Server; Cache coloring; Cache algorithms; Cloud computing; Bottleneck; Operating system; CPU cache; Embedded system","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":[0.0003978331,0.00004399606,0.00007074868,0.00004304453,0.0001916454,0.00002026377,0.0004444347,0.00001309345,0.000008706577],"category_scores_gemma":[0.00001139431,0.00004525536,0.00006013989,0.000180807,0.000006277523,0.0001774253,0.0002502828,0.00005899834,0.000001340506],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003687162,"about_ca_system_score_gemma":0.0000453179,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000637615,"about_ca_topic_score_gemma":0.00004120217,"domain_scores_codex":[0.9993612,0.00003516062,0.0001620275,0.0001827478,0.0001695059,0.00008935856],"domain_scores_gemma":[0.9994349,0.00004798046,0.00003952899,0.0003594905,0.00009475785,0.0000232894],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001324801,0.000106955,0.0001182668,0.00001377179,0.00001363083,1.31665e-7,0.0002343935,0.4747134,0.001970912,0.513734,0.001430705,0.007650594],"study_design_scores_gemma":[0.0001487141,0.00004327416,0.00004001674,0.00000103507,0.000003375631,7.727236e-7,0.0001018237,0.9941909,0.0001214553,0.004043789,0.001249802,0.00005506941],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04179061,0.00002172322,0.9563209,0.0009005523,0.0000774442,0.000211776,0.00001445624,0.00007492304,0.0005875652],"genre_scores_gemma":[0.996599,0.000001118304,0.002164774,0.0002358624,0.00002595414,0.0002247355,0.00002171759,0.000003345928,0.0007234595],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9548084,"threshold_uncertainty_score":0.184546,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06740304601893043,"score_gpt":0.2765487511104973,"score_spread":0.2091457050915669,"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."}}