{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005396741,0.0003611971,0.0007008641,0.0005133743,0.000606456,0.0006992942,0.00144286,0.0008095538,0.001773882],"category_scores_gemma":[0.002900901,0.0001971585,0.0003506889,0.001109415,0.0007543449,0.001665759,0.000903393,0.0004822543,0.0002935421],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001216806,"about_ca_system_score_gemma":0.001509655,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004698727,"about_ca_topic_score_gemma":0.005014943,"domain_scores_codex":[0.9994167,0.0001389005,0.00002156321,0.0001200733,0.0001872366,0.0001155255],"domain_scores_gemma":[0.9981756,0.0006292265,0.0001941422,0.0005391345,0.0003702161,0.00009167086],"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":[0.0004999336,0.0001840578,0.001970621,0.0001727247,0.00005317075,0.0004791677,0.0001740862,0.7524125,0.03323422,0.09028453,0.006366341,0.1141686],"study_design_scores_gemma":[0.00002031251,0.00004814035,0.0001940193,0.000005137326,0.00000785068,0.0001197064,0.00001905349,0.9880775,0.003827839,0.006540145,0.001127895,0.00001238526],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1244204,0.0002539594,0.8662889,0.0002727504,0.00007299148,0.0001751862,0.0002254322,0.0008650516,0.007425355],"genre_scores_gemma":[0.9255681,0.0001061404,0.07128609,0.00007156703,0.00002949011,0.00009184667,0.0001207044,0.00002802036,0.002698102],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004698727,"threshold_uncertainty_score":0.00934273,"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."}}