{"id":"W1539563854","doi":"10.1002/spe.1093","title":"Web workload generation challenges – an empirical investigation","year":2011,"lang":"en","type":"article","venue":"Software Practice and Experience","topic":"Software System Performance and Reliability","field":"Computer Science","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Workload; Computer science; Scalability; Generator (circuit theory); Java; Web application; Operating system; Web server; Throughput; The Internet","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":[0.01439864,0.0004624402,0.000454065,0.001553638,0.001099062,0.002023251,0.001749106,0.001333677,0.002139801],"category_scores_gemma":[0.1315043,0.0004774941,0.0003489614,0.001560903,0.0009881284,0.003149567,0.001161723,0.002325115,0.0007207961],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001506798,"about_ca_system_score_gemma":0.001052083,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002550679,"about_ca_topic_score_gemma":0.002383418,"domain_scores_codex":[0.9877613,0.005780349,0.001279738,0.001255446,0.003457092,0.000466113],"domain_scores_gemma":[0.6886668,0.2497149,0.01916946,0.01439335,0.02456196,0.003493469],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001525452,0.01046947,0.7835691,0.001239855,0.0002431986,0.001856886,0.01513988,0.02591665,0.007999624,0.004596986,0.02118284,0.12626],"study_design_scores_gemma":[0.0003981045,0.004877415,0.6184966,0.0007079694,0.000192403,0.004388282,0.02443542,0.2926876,0.01319717,0.008288562,0.03204227,0.0002882922],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.993652,0.0001734429,0.002664209,0.0005327885,0.00001766815,0.0002814451,0.0003885113,0.0001337625,0.002156161],"genre_scores_gemma":[0.99625,0.0001009076,0.002133935,0.0001509561,0.00001871018,0.0001738923,0.000727771,0.00004311288,0.0004007055],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01439864,"threshold_uncertainty_score":0.07614815,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1009949388247258,"score_gpt":0.3225370317972244,"score_spread":0.2215420929724987,"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."}}