{"id":"W2981413263","doi":"10.1145/3341301.3359640","title":"An analysis of performance evolution of Linux's core operations","year":2019,"lang":"en","type":"article","venue":"","topic":"Advanced Data Storage Technologies","field":"Computer Science","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Linux kernel; Scalability; Operating system; Overhead (engineering); Multi-core processor; System call; Workload; Kernel (algebra); Context switch; Latency (audio); Simple (philosophy); Context (archaeology); Distributed computing; 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":[0.001077167,0.0004056024,0.0002961722,0.002834721,0.0003724866,0.0009274871,0.0004796398,0.0003518788,0.000753032],"category_scores_gemma":[0.005503456,0.0002144315,0.0002841653,0.00263398,0.0003684849,0.0009573851,0.0004697557,0.0008658304,0.0005075804],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001038152,"about_ca_system_score_gemma":0.0005537529,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005823973,"about_ca_topic_score_gemma":0.003022134,"domain_scores_codex":[0.99861,0.0001030196,0.00007216173,0.0002606504,0.0006947046,0.0002593568],"domain_scores_gemma":[0.9941743,0.001285611,0.0009206957,0.0004855325,0.002698265,0.0004355542],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001143349,0.0004206603,0.6246794,0.0004282009,0.0002487219,0.0008210672,0.002511159,0.03862251,0.05605951,0.005314169,0.01625619,0.253495],"study_design_scores_gemma":[0.00001777606,0.0008823049,0.8708203,0.00006585028,0.00009646623,0.0008589573,0.0006961052,0.08813112,0.019014,0.0008849525,0.01844227,0.00008984467],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9917576,0.0007611101,0.001248947,0.0002008984,0.00004363755,0.0000158343,0.0009764152,0.000505551,0.004490019],"genre_scores_gemma":[0.9959771,0.0002457206,0.001036318,0.00003854902,0.00002635653,0.00001061893,0.001852696,0.0001068356,0.0007057777],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005823973,"threshold_uncertainty_score":0.01158017,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01513635610131037,"score_gpt":0.2684862619965635,"score_spread":0.2533499058952531,"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."}}