{"id":"W2470812362","doi":"10.1186/s13677-016-0058-8","title":"Green spine switch management for datacenter networks","year":2016,"lang":"en","type":"article","venue":"Journal of Cloud Computing Advances Systems and Applications","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Cloud computing; Energy consumption; CloudSim; Server; Virtualization; Computer network; Software-defined networking; Workload; Efficient energy use; Distributed computing; Operating system; Engineering","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":[0.0006960434,0.0001509824,0.0002777498,0.0001086771,0.0002492823,0.000140442,0.000758903,0.00003410557,3.623596e-7],"category_scores_gemma":[0.000006745432,0.00009620615,0.00009443556,0.0002211254,0.00003802862,0.00007084261,0.0003305521,0.00008127376,0.000001868231],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004166546,"about_ca_system_score_gemma":0.00001066675,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003490134,"about_ca_topic_score_gemma":6.718362e-7,"domain_scores_codex":[0.9985372,0.0000419728,0.000623351,0.0002982559,0.0002312697,0.0002679887],"domain_scores_gemma":[0.9984972,0.0001676834,0.0006442537,0.00040757,0.0001686222,0.0001146779],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001030302,0.00009244661,0.0003716052,0.0002181974,0.0001250006,0.000006113828,0.00007204794,0.03497921,0.00004453658,0.1391729,0.001609385,0.8232982],"study_design_scores_gemma":[0.001360642,0.0001867809,0.0005417531,0.0006635852,0.00004629732,0.0001455872,0.000120107,0.229886,0.0000141748,0.002903335,0.7638679,0.0002637707],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003405984,0.003371667,0.9902843,0.001281543,0.0007085705,0.0004691658,0.000001943619,0.00005592233,0.0004209296],"genre_scores_gemma":[0.9458568,0.0003410132,0.04953868,0.00017507,0.002778736,0.00004254159,9.565899e-7,0.00002106851,0.00124514],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9424508,"threshold_uncertainty_score":0.3923173,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01180760128625469,"score_gpt":0.2592881246260903,"score_spread":0.2474805233398356,"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."}}