{"id":"W4386025681","doi":"10.1109/tnsm.2023.3306971","title":"Comprehensive Performance and Robustness Analysis of Expander-Based Data Centers","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Network and Service Management","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Concordia University","keywords":"Computer science; Robustness (evolution)","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":[0.001416953,0.0005975942,0.0004979876,0.000954488,0.0003098779,0.0006264314,0.0006636034,0.0005030003,0.001189817],"category_scores_gemma":[0.003377829,0.000156145,0.0004312613,0.0005401907,0.0005210385,0.000829979,0.0005511349,0.000497602,0.0001603041],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009968057,"about_ca_system_score_gemma":0.0003506959,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001991177,"about_ca_topic_score_gemma":0.0008690055,"domain_scores_codex":[0.9993247,0.0001869423,0.00002800261,0.0001026852,0.0002149242,0.0001427972],"domain_scores_gemma":[0.9975835,0.001221903,0.000397737,0.0002556764,0.0004246369,0.0001164177],"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":[0.000203324,0.00005038576,0.001362759,0.00006491705,0.00003527982,0.00007403162,0.00002890818,0.9776773,0.008918456,0.002097648,0.00043389,0.009053132],"study_design_scores_gemma":[0.000005570951,0.000236797,0.001055385,0.000004690003,0.00001606984,0.00003560364,0.00002181344,0.9939393,0.003835869,0.0006606596,0.0001798667,0.000008316001],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8986633,0.001040358,0.09264271,0.0002502928,0.00004171248,0.00008412093,0.0003487424,0.0008180315,0.006110755],"genre_scores_gemma":[0.9963702,0.0001368211,0.003044718,0.00001317724,0.000005602628,0.00001528677,0.0001018187,0.00001552412,0.0002969201],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001991177,"threshold_uncertainty_score":0.007493615,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03663001884870668,"score_gpt":0.2482290247677811,"score_spread":0.2115990059190744,"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."}}