{"id":"W2141168954","doi":"10.1109/cimca.2005.1631525","title":"A General Cache Partition Model for Multiple QoS Classes: Algorithm and Simulation","year":2006,"lang":"en","type":"article","venue":"","topic":"Optimization and Search Problems","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trent University","funders":"","keywords":"Computer science; Cache; Partition (number theory); Quality of service; Cache algorithms; Popularity; Algorithm; Parallel computing; CPU cache; Distributed computing; Computer network; Mathematics","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":[0.0009500359,0.0006084765,0.001017221,0.0005686862,0.0005678288,0.0009248265,0.00165412,0.001593575,0.002129143],"category_scores_gemma":[0.002359327,0.0004079142,0.0007389635,0.001090495,0.0007424867,0.001541321,0.0007548551,0.0008354054,0.0003497202],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001434754,"about_ca_system_score_gemma":0.001401512,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01229237,"about_ca_topic_score_gemma":0.006682278,"domain_scores_codex":[0.9996952,0.0001102109,0.00001242769,0.0000572223,0.00007114324,0.00005387578],"domain_scores_gemma":[0.9991948,0.0004937067,0.00007295317,0.00005170906,0.0001510243,0.00003587737],"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":[0.00002370093,0.00001679417,0.0002426084,0.00001791539,0.00001195291,0.00001839597,0.00002162087,0.9905686,0.0004649232,0.004435761,0.0002073444,0.003970374],"study_design_scores_gemma":[0.000006232027,0.000004183786,0.00002192814,0.000001375685,0.000002568633,0.000006188018,0.000002101445,0.9990454,0.00006408131,0.000739729,0.0001044457,0.000001738536],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05152794,0.000360914,0.9438065,0.0002104448,0.00002906567,0.0001150183,0.00009396939,0.0003562391,0.003499865],"genre_scores_gemma":[0.590576,0.0006297617,0.4013717,0.0001149391,0.00004958031,0.0006987422,0.0002668762,0.0001378454,0.006154529],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01229237,"threshold_uncertainty_score":0.02444166,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03848207623022393,"score_gpt":0.2908025213047491,"score_spread":0.2523204450745252,"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."}}