{"id":"W2520253860","doi":"10.1109/wcnc.2016.7564873","title":"Fully distributed scheduling in cloud-RAN systems","year":2016,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; C-RAN; Distributed computing; Cloud computing; Radio access network; Scheduling (production processes); Bottleneck; Computer network; Baseband; Base station; Bandwidth (computing); Operating system; Embedded system","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":[0.0000931608,0.0001011036,0.0001363361,0.00006719328,0.00001473066,0.00001657029,0.00007590973,0.0000661224,0.00002062399],"category_scores_gemma":[0.00004834597,0.00007377542,0.00001802813,0.0001768003,0.000008882493,0.0001824821,0.00001176347,0.00004546451,0.0000895105],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001615734,"about_ca_system_score_gemma":0.000006015154,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001841387,"about_ca_topic_score_gemma":0.00002148932,"domain_scores_codex":[0.9993472,0.00001496115,0.0002514884,0.0001189541,0.00006411573,0.0002033033],"domain_scores_gemma":[0.9996864,0.0000518314,0.00002042606,0.0001669676,0.00002859842,0.00004578352],"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":[0.000002807345,0.000004873852,0.0006790838,0.00004541251,0.000007359524,0.000003760812,0.0000325567,0.9806092,0.01459713,0.00317003,0.0001335737,0.0007142468],"study_design_scores_gemma":[0.001393642,0.00002652075,0.0003359555,0.0005539328,0.000007810849,0.00001993655,0.0005467764,0.9831156,0.009930003,0.0002931082,0.003171842,0.0006049278],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02417001,0.0001886144,0.9726149,0.00004036711,0.0005868137,0.0001788561,0.00001730495,0.0004853948,0.001717773],"genre_scores_gemma":[0.9964446,0.00002594846,0.003166455,0.000003377262,0.0001075741,0.00002779812,0.00001101242,0.000027554,0.0001857007],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9722745,"threshold_uncertainty_score":0.3008475,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00811636954060879,"score_gpt":0.2060410144533954,"score_spread":0.1979246449127866,"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."}}