{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006018945,0.0001590115,0.0001422254,0.00006435618,0.0002791552,0.0001379579,0.0004042035,0.0001245142,0.00001448041],"category_scores_gemma":[0.0006249105,0.0001335709,0.00002764662,0.0002462763,0.0001393622,0.005185676,0.0001461019,0.000157128,0.00004400123],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002864838,"about_ca_system_score_gemma":0.0001122129,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006701548,"about_ca_topic_score_gemma":0.00002102218,"domain_scores_codex":[0.9984078,0.0002120745,0.0002573278,0.0005826807,0.0002899362,0.0002501693],"domain_scores_gemma":[0.9986935,0.0001569572,0.0001401466,0.0006282773,0.0001852783,0.0001958149],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00007027127,0.0004148528,0.1073279,0.0000927159,0.00002970986,0.00004793995,0.3772883,0.000008936735,0.001345413,0.003301151,0.0004982242,0.5095747],"study_design_scores_gemma":[0.004997834,0.006792827,0.5732948,0.0007927472,0.0002144426,0.002884565,0.08383163,0.09362569,0.05506803,0.02449613,0.1469014,0.007099885],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9051741,0.002946679,0.08821972,0.001434873,0.0007342784,0.00023335,6.694647e-7,0.0005610973,0.0006952669],"genre_scores_gemma":[0.8790564,0.001215281,0.1184896,0.000979588,0.0001512173,0.00007897177,0.000001721108,0.000007973955,0.00001920325],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5024747,"threshold_uncertainty_score":0.5446865,"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."}}