{"id":"W2138333931","doi":"10.1007/s10766-007-0066-x","title":"Analyzing the Effects of Hyperthreading on the Performance of Data Management Systems","year":2008,"lang":"en","type":"article","venue":"International Journal of Parallel Programming","topic":"Graph Theory and Algorithms","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Pentium; Multithreading; Operating system; Benchmark (surveying); Parallel computing; Computer architecture; Embedded system","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":[0.003646796,0.0006923045,0.0005777563,0.000896818,0.0008270461,0.001438962,0.001058631,0.0006534415,0.00151969],"category_scores_gemma":[0.02351126,0.00061375,0.0004632794,0.001323178,0.001031785,0.00184987,0.0007537126,0.00157959,0.0001979045],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001146748,"about_ca_system_score_gemma":0.001577954,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003697015,"about_ca_topic_score_gemma":0.004252569,"domain_scores_codex":[0.9972224,0.0009462238,0.0001696222,0.0004014912,0.0006235302,0.0006367018],"domain_scores_gemma":[0.9614685,0.02920962,0.001927473,0.003642611,0.00253094,0.001220839],"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":[0.009476951,0.002733899,0.1392715,0.0005949491,0.0005578427,0.0004729428,0.0009269287,0.564661,0.14068,0.008827705,0.005034552,0.1267617],"study_design_scores_gemma":[0.0001283498,0.001146419,0.03310149,0.00001781698,0.0002501321,0.0000889077,0.0002263743,0.9135151,0.04697637,0.003578819,0.000919503,0.00005075523],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953159,0.0003111903,0.002776153,0.0001509864,0.00004321762,0.00001473204,0.0000716077,0.0001986546,0.001117573],"genre_scores_gemma":[0.9980848,0.00005921011,0.001400104,0.00002450133,0.00002096169,0.00001133138,0.00007873129,0.00005682631,0.0002637127],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003697015,"threshold_uncertainty_score":0.01928627,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03246800490371323,"score_gpt":0.2733394568158058,"score_spread":0.2408714519120926,"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."}}