{"id":"W4242577981","doi":"10.32920/ryerson.14665065","title":"Performance measurement and analytic modeling of a web application","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Software System Performance and Reliability","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; University of Toronto","funders":"","keywords":"Computer science; Queueing theory; Performance measurement; Throughput; Reliability engineering; Web application; Data mining; Distributed computing; Industrial engineering; Simulation; Operating system; Computer network; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001181713,0.0007120995,0.0004373423,0.0007942197,0.0002964957,0.001614163,0.0009517768,0.0006941811,0.0009895264],"category_scores_gemma":[0.003992263,0.0003119513,0.0004325494,0.0008340183,0.0004915564,0.001253265,0.0004519821,0.0008094682,0.0005138587],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001150753,"about_ca_system_score_gemma":0.001470705,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004324351,"about_ca_topic_score_gemma":0.001186359,"domain_scores_codex":[0.9986441,0.00033923,0.00006542424,0.0001466935,0.0007238796,0.00008067668],"domain_scores_gemma":[0.9986379,0.0006595348,0.0001436015,0.0002124804,0.0003169251,0.00002960719],"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":[0.00009454148,0.0001513047,0.003602539,0.0002156856,0.00003654143,0.0001623022,0.0002486332,0.8741825,0.04445324,0.03373158,0.001274672,0.0418465],"study_design_scores_gemma":[0.000002886335,0.00003356025,0.0006037418,0.000008953672,0.000005742078,0.00002791433,0.00001832562,0.9906698,0.00461704,0.002998128,0.00100635,0.000007438551],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.133843,0.0004966764,0.8497348,0.0005852639,0.00005218932,0.0001845134,0.0004914022,0.003097466,0.01151468],"genre_scores_gemma":[0.9210068,0.000751282,0.07418007,0.000064899,0.00004493947,0.0002950503,0.000382026,0.0001209385,0.003153959],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004324351,"threshold_uncertainty_score":0.008598328,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03165705265231079,"score_gpt":0.2389860224556463,"score_spread":0.2073289698033355,"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."}}