{"id":"W4416649891","doi":"10.1109/tnse.2025.3637123","title":"Intelligent Edge Caching Strategies for Optimized Content Delivery","year":2025,"lang":"","type":"article","venue":"IEEE Transactions on Network Science and Engineering","topic":"Caching and Content Delivery","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Cache; Enhanced Data Rates for GSM Evolution; Wireless; Content delivery; Volume (thermodynamics); Edge computing; Mobile device; Wireless network; Edge device; Graph","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":[0.000654925,0.0006729807,0.0006361085,0.0004812511,0.000394582,0.0006973174,0.001247427,0.0007680554,0.001330331],"category_scores_gemma":[0.002362734,0.0002775039,0.0002566805,0.0004745176,0.0004689427,0.001117913,0.0007367163,0.0007107919,0.0003747671],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001107468,"about_ca_system_score_gemma":0.0009809359,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004421601,"about_ca_topic_score_gemma":0.007219241,"domain_scores_codex":[0.9996464,0.0001149354,0.00001554841,0.00007839238,0.00007746002,0.00006730935],"domain_scores_gemma":[0.999154,0.0004240497,0.00007790788,0.00007837812,0.0002054918,0.00006021231],"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":[0.0002783832,0.000131194,0.001405274,0.0001065898,0.00004901119,0.0001675221,0.0001210699,0.8680995,0.01650559,0.01825755,0.00581716,0.08906115],"study_design_scores_gemma":[0.000005406994,0.00001583511,0.00006597453,0.000002094356,0.000005443818,0.00001737005,0.000007702754,0.9966459,0.001092018,0.001814572,0.000324852,0.000002891995],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07477096,0.0006760558,0.9173948,0.000361028,0.00007302161,0.00005624293,0.00008460668,0.001169878,0.005413403],"genre_scores_gemma":[0.9056278,0.0002995595,0.09001673,0.0001977629,0.00003629044,0.00004618274,0.0001364746,0.00009681965,0.003542395],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004421601,"threshold_uncertainty_score":0.008791685,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02930854887855782,"score_gpt":0.2357852844012445,"score_spread":0.2064767355226866,"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."}}