{"id":"W2482095914","doi":"10.1049/iet-com.2015.1205","title":"Fundamental limits of caching: improved bounds for users with small buffers","year":2016,"lang":"en","type":"article","venue":"IET Communications","topic":"Caching and Content Delivery","field":"Computer Science","cited_by":113,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Set (abstract data type); Upper and lower bounds; Computer network; Cache; Buffer (optical fiber); Algorithm; Mathematics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00790942,0.003066593,0.003181104,0.003314054,0.00185481,0.006580218,0.006742821,0.003412041,0.00903913],"category_scores_gemma":[0.04572947,0.001182907,0.001885537,0.003433591,0.00378694,0.01340099,0.005348964,0.008922893,0.001508378],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004973918,"about_ca_system_score_gemma":0.002690358,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002168909,"about_ca_topic_score_gemma":0.001385563,"domain_scores_codex":[0.9950287,0.001617431,0.0001471463,0.0007548641,0.001408838,0.001043052],"domain_scores_gemma":[0.9564725,0.0339676,0.001923771,0.002351051,0.003817942,0.001467127],"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":[0.0005654857,0.0003090508,0.001003025,0.000976646,0.0001094808,0.000363684,0.0008265814,0.1199326,0.01142525,0.8184512,0.009327138,0.03670976],"study_design_scores_gemma":[0.00003652316,0.0001978216,0.0004150595,0.0003362004,0.0001084162,0.0004231522,0.0002274606,0.6378027,0.004789561,0.3478648,0.00769091,0.0001074464],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03766948,0.01398161,0.9055035,0.002567938,0.0006123262,0.0002028,0.0004678953,0.0006278902,0.03836655],"genre_scores_gemma":[0.7877139,0.01552189,0.1766312,0.002269103,0.00221375,0.001055896,0.0007198979,0.0008897228,0.01298467],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00903913,"threshold_uncertainty_score":0.04182947,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06948129246839965,"score_gpt":0.2722086962207822,"score_spread":0.2027274037523825,"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."}}