{"id":"W2168361212","doi":"10.1109/innovations.2006.301961","title":"Techniques and a Framework for Characterizing Computer Systems' Workloads","year":2006,"lang":"en","type":"article","venue":"","topic":"Software System Performance and Reliability","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Workload; Computer science; Set (abstract data type); Process (computing); Distributed computing; Characterization (materials science); Operating system; Programming language","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":[0.0003223623,0.0001193665,0.0001851515,0.00005987478,0.000126807,0.0002599242,0.0002780828,0.0001177032,0.000001319569],"category_scores_gemma":[0.000006487961,0.00008895012,0.00004569963,0.0001471283,0.00003013058,0.0003487546,0.0001215583,0.00007707209,0.000007007308],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000229792,"about_ca_system_score_gemma":0.00001735789,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005621181,"about_ca_topic_score_gemma":9.33055e-7,"domain_scores_codex":[0.9990717,0.00002377781,0.0002464658,0.0003179059,0.0001135807,0.0002265535],"domain_scores_gemma":[0.9992793,0.0001707753,0.00007170994,0.0003682396,0.00006920502,0.00004081863],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002339632,0.0001528889,0.0435165,0.0008357967,0.0000343858,0.00001333984,0.0004378635,0.00002378648,0.0005108292,0.7439873,0.008666012,0.2017979],"study_design_scores_gemma":[0.001973673,0.001438344,0.07174824,0.003020701,0.00004579868,0.0007528866,0.0001090035,0.2766739,0.02321719,0.07530437,0.5427322,0.002983612],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02829304,0.0002365725,0.9687603,0.0004252352,0.0007493199,0.0004616691,0.000001308021,0.0006507767,0.0004217767],"genre_scores_gemma":[0.4300076,0.00001307439,0.5683572,0.0002018848,0.001079635,0.0001341799,0.000001947224,0.000009004964,0.0001955317],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.6686829,"threshold_uncertainty_score":0.3627281,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00896854814098336,"score_gpt":0.23808963029542,"score_spread":0.2291210821544367,"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."}}