{"id":"W2748496872","doi":"10.1109/twc.2019.2891618","title":"Decentralized Coded Caching Without File Splitting","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Caching and Content Delivery","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; False sharing; Scheme (mathematics); Wireless network; Wireless; Process (computing); Computer network; Algorithm; Distributed computing; Cache; CPU cache; Operating system; Cache algorithms","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002474633,0.0001907657,0.0002393007,0.0001716681,0.0006718072,0.0002027812,0.002142004,0.00008271116,0.0001996244],"category_scores_gemma":[0.000007199637,0.0001995283,0.0001762424,0.0004164494,0.00006691641,0.0004926632,0.00002392773,0.0005772114,0.0004591405],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001019886,"about_ca_system_score_gemma":0.00008909122,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003502906,"about_ca_topic_score_gemma":0.0001608333,"domain_scores_codex":[0.9984588,0.0002571802,0.0003361136,0.0003630537,0.0002636953,0.0003211495],"domain_scores_gemma":[0.9961157,0.0005827044,0.000122404,0.002962469,0.000100502,0.000116265],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002326383,0.004698556,0.002624785,0.000185121,0.0009854122,0.0000171508,0.01074243,0.1241616,0.1546918,0.08555522,0.004734535,0.6113708],"study_design_scores_gemma":[0.001231594,0.00008687395,0.0003435646,0.0002484097,0.00003953678,0.00003024807,0.0002209985,0.9863788,0.005328089,0.0002365741,0.005307836,0.000547428],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0934509,0.00009982314,0.9010855,0.001397963,0.0004881547,0.0003508198,0.00008323846,0.0005823711,0.002461242],"genre_scores_gemma":[0.9871723,0.0001756045,0.01087561,0.0004013141,0.000009397058,0.0000895608,0.00002133156,0.00002224658,0.001232646],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8937214,"threshold_uncertainty_score":0.8136529,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0257210664827236,"score_gpt":0.2630706734109061,"score_spread":0.2373496069281825,"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."}}