{"id":"W2964007775","doi":"10.48550/arxiv.1907.08756","title":"Joint Fronthaul Multicast and Cooperative Beamforming for Cache-Enabled Cloud-Based Small Cell Networks: An MDS Codes-Aided Approach","year":2019,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Caching and Content Delivery","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Multicast; Computer network; Base station; Beamforming; Distributed computing; Transmission (telecommunications); 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004304514,0.00067725,0.0004761899,0.0003224734,0.0002973815,0.0005223428,0.0006495332,0.0005668406,0.001275545],"category_scores_gemma":[0.001067323,0.0002546609,0.0002908538,0.0006114834,0.000558046,0.0006315444,0.0007024629,0.0005802134,0.000283391],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008900071,"about_ca_system_score_gemma":0.001109712,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003076956,"about_ca_topic_score_gemma":0.004030753,"domain_scores_codex":[0.9997349,0.00008741699,0.000007202409,0.00003318867,0.00009873696,0.00003859765],"domain_scores_gemma":[0.9996057,0.0001852425,0.00005885418,0.00003303288,0.00009217795,0.00002498316],"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":[0.00006767613,0.00002265418,0.0002786317,0.00005046501,0.00001460712,0.00007333098,0.00005382198,0.9348209,0.008850451,0.0274851,0.000680176,0.02760208],"study_design_scores_gemma":[0.000003482387,0.00001794352,0.00002293375,0.00000328688,0.000002323104,0.0000131126,0.000008569871,0.9961931,0.001051835,0.002287382,0.0003927519,0.00000325275],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01587508,0.0001525325,0.981477,0.0001408402,0.00001775621,0.00002532044,0.00003432118,0.00007292075,0.00220429],"genre_scores_gemma":[0.750652,0.0005335796,0.2429405,0.0001060203,0.00005348799,0.0001495789,0.00009900482,0.00003942213,0.005426471],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003076956,"threshold_uncertainty_score":0.006457448,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08957252394911491,"score_gpt":0.1835136221165288,"score_spread":0.09394109816741389,"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."}}