{"id":"W2960485398","doi":"10.48550/arxiv.1904.10882","title":"Joint Long-Term Cache Allocation and Short-Term Content Delivery in Green Cloud Small Cell Networks","year":2019,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Caching and Content Delivery","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Cache; Computer network; Multicast; Cloud computing; Small cell; Distributed computing; Quality of service; Enhanced Data Rates for GSM Evolution; Radio access network; Mobile edge computing; Cellular network; Base station; Server; Mobile station","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":[0.0007641587,0.0004565715,0.0005846725,0.0002321344,0.0003978298,0.0006137391,0.0007203498,0.000560895,0.0004748661],"category_scores_gemma":[0.001554785,0.0002302901,0.0002226173,0.0004838966,0.0005530925,0.0007394314,0.0004948185,0.0003557359,0.00006331458],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001293061,"about_ca_system_score_gemma":0.001118699,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007378764,"about_ca_topic_score_gemma":0.0067956,"domain_scores_codex":[0.9996955,0.00009963042,0.000008239563,0.00004858114,0.00007461604,0.00007349258],"domain_scores_gemma":[0.9994716,0.000297578,0.00007024786,0.0000274366,0.00008629123,0.00004679267],"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":[0.00009740823,0.00003295446,0.0006630769,0.00003766925,0.0000173706,0.00007338558,0.00003281327,0.9718046,0.004998863,0.00667735,0.0003873359,0.01517708],"study_design_scores_gemma":[0.000002929287,0.00001558297,0.00008182741,0.000001082557,0.000003692405,0.000006316228,0.000006929845,0.9982582,0.0005392598,0.001009018,0.00007332891,0.000001883665],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1976928,0.000828476,0.7986795,0.0003625462,0.00004243081,0.00004547328,0.000057833,0.0001297812,0.002161227],"genre_scores_gemma":[0.9786927,0.0002528978,0.02014218,0.00004228931,0.000014839,0.00002894163,0.00002283168,0.00001386657,0.000789502],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007378764,"threshold_uncertainty_score":0.01467162,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1063825666134996,"score_gpt":0.1804714837555307,"score_spread":0.07408891714203113,"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."}}