{"id":"W3083878797","doi":"10.1002/spe.2889","title":"Performance analysis of distributed storage clusters based on kernel and userspace traces","year":2020,"lang":"en","type":"article","venue":"Software Practice and Experience","topic":"Advanced Data Storage Technologies","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Tracing; Distributed computing; Scalability; Debugging; Replication (statistics); Queue; Parallel computing; Operating system; Computer network","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001450396,0.000158372,0.0002551017,0.0001271284,0.0002015461,0.00007579147,0.0005217261,0.00006199667,0.000003724073],"category_scores_gemma":[0.001965017,0.0001443617,0.00003391044,0.001282733,0.0002351189,0.002130505,0.000417978,0.0001709183,0.000001427602],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002284413,"about_ca_system_score_gemma":0.00003092694,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002328661,"about_ca_topic_score_gemma":0.000002719926,"domain_scores_codex":[0.99876,0.00005054501,0.0001859705,0.0005196882,0.0002818809,0.0002018734],"domain_scores_gemma":[0.9984627,0.0006157667,0.0002324321,0.0004998253,0.00008025216,0.0001090194],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002739955,0.001254218,0.1726817,0.001009883,0.001473954,0.0007147251,0.2589112,0.1716925,0.005846048,0.007996458,0.001954474,0.3737249],"study_design_scores_gemma":[0.0005669646,0.0007461,0.01039484,0.00004453101,0.0002149654,0.00001268081,0.00949694,0.9681132,0.003437389,0.00002927291,0.006448218,0.0004948699],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3601026,0.0001931258,0.6364654,0.002847747,0.00002788586,0.00008230859,0.00003540286,0.0002279171,0.00001761325],"genre_scores_gemma":[0.9014912,0.0001573167,0.09736506,0.0009473647,0.000005302585,0.00001505507,0.00001069772,0.000005279894,0.000002674398],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7964208,"threshold_uncertainty_score":0.5886899,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01896403816792503,"score_gpt":0.2719575905685418,"score_spread":0.2529935524006168,"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."}}