{"id":"W1587827299","doi":"10.1109/icsmc.2005.1571578","title":"Understanding the Performance of Enterprise Applications","year":2006,"lang":"en","type":"article","venue":"","topic":"Software System Performance and Reliability","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Computer science; Server; Vendor; Suite; Component (thermodynamics); Enterprise information system; Bandwidth (computing); World Wide Web; Database; Computer network; Business","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":[0.0002129379,0.00004647892,0.00006012153,0.0000272914,0.0001216857,0.00002426847,0.0004488666,0.00002011989,0.00000758304],"category_scores_gemma":[0.000001757264,0.00002588562,0.00003412209,0.0002486936,0.00005518229,0.0001834446,0.00007272603,0.000039866,0.00002394011],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003623433,"about_ca_system_score_gemma":0.00002357336,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003071603,"about_ca_topic_score_gemma":0.000004656637,"domain_scores_codex":[0.9994774,0.00001360283,0.0001626235,0.0001129577,0.0001344301,0.00009893376],"domain_scores_gemma":[0.9994047,0.00005963114,0.00005365807,0.0004388644,0.0000310786,0.00001205961],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000007201711,0.0001901782,0.427312,0.0001889038,0.00001962992,3.864712e-7,0.0006769138,0.003548929,0.0008552912,0.5547549,0.003960299,0.008485391],"study_design_scores_gemma":[0.001323091,0.0003564039,0.2424482,0.0001520926,0.0000316855,0.00006538274,0.0007217076,0.6421125,0.03303014,0.04993482,0.0289528,0.0008711822],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08225695,0.00003727773,0.9075717,0.0002450456,0.0000743364,0.000164375,3.211491e-7,0.00008191231,0.009568037],"genre_scores_gemma":[0.9969798,0.000007339984,0.002658467,0.00003800992,0.00003218273,0.00002696491,4.100308e-7,0.000001754131,0.0002550992],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9147228,"threshold_uncertainty_score":0.1055585,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02389654045648121,"score_gpt":0.2291014852571056,"score_spread":0.2052049448006244,"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."}}