{"id":"W3209234001","doi":"10.3390/e23111459","title":"Cryptography in Hierarchical Coded Caching: System Model and Cost Analysis","year":2021,"lang":"en","type":"article","venue":"Entropy","topic":"Caching and Content Delivery","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Computer science; Computer network; Cache; Throughput; Transmission (telecommunications); Simple (philosophy); Multiplicative function; Cryptography; Service (business); Distributed computing; Computer security; Wireless; Operating system; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001803124,0.00009723174,0.0002211416,0.0002613985,0.00008050952,0.000163555,0.0002363304,0.00004117089,0.000002314833],"category_scores_gemma":[0.00002013829,0.00009304478,0.0001271664,0.0008467416,0.0000239022,0.0001345689,0.0001608124,0.0001822134,0.000004220049],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003875361,"about_ca_system_score_gemma":0.00004378964,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001055299,"about_ca_topic_score_gemma":0.00008088256,"domain_scores_codex":[0.9989108,0.0001316286,0.0001788757,0.0003686257,0.0002002919,0.0002097601],"domain_scores_gemma":[0.9993966,0.00006664264,0.00003515784,0.0003635085,0.00003800348,0.0001000969],"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":[0.00002657423,0.000163225,0.05360196,0.00003792945,0.0003585758,0.000434551,0.001067992,0.07849175,0.007106361,0.8540085,0.0002765952,0.004426001],"study_design_scores_gemma":[0.0003614194,0.000009095204,0.004116888,0.00001677525,0.00004421136,0.00001354326,0.00005637274,0.9943484,0.00008889363,0.0007552083,0.00007936046,0.0001098473],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.353325,0.0003151852,0.6451775,0.0004114346,0.00007800888,0.00005240956,0.000004242247,0.00008109265,0.0005550541],"genre_scores_gemma":[0.9933534,0.00002096829,0.006325534,0.0001895919,0.00001964821,0.000008596783,0.000005989897,0.000004141874,0.00007214976],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9158567,"threshold_uncertainty_score":0.3794256,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01331067537641045,"score_gpt":0.2278299752764645,"score_spread":0.214519299900054,"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."}}