{"id":"W1983997639","doi":"10.1145/2090236.2090246","title":"Paging for multi-core shared caches","year":2012,"lang":"en","type":"article","venue":"","topic":"Optimization and Search Problems","field":"Computer Science","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Paging; Computer science; Cache; CPU cache; Core (optical fiber); Multi-core processor; Metric (unit); Competitive analysis; Parallel computing; Cache algorithms; Computer network; Distributed computing; Upper and lower bounds; Telecommunications","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":[0.001161418,0.000444399,0.001233447,0.000361987,0.0006813863,0.001769747,0.00208425,0.001313895,0.002826263],"category_scores_gemma":[0.004409735,0.0004029369,0.00062252,0.0008566231,0.0007254705,0.002609564,0.00123047,0.001378363,0.0003198897],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001790158,"about_ca_system_score_gemma":0.001282907,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002704952,"about_ca_topic_score_gemma":0.002904483,"domain_scores_codex":[0.9988183,0.0003955373,0.00005209533,0.0002065,0.0002734475,0.0002539719],"domain_scores_gemma":[0.997708,0.001053996,0.0001873798,0.0005166206,0.0003493695,0.0001847607],"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":[0.0003311946,0.0001614154,0.001117763,0.0002048966,0.00006507939,0.0001919954,0.0001412737,0.7553679,0.005474739,0.1780186,0.005226931,0.0536982],"study_design_scores_gemma":[0.00001118063,0.00004200603,0.00009586186,0.000005519106,0.000006744824,0.0000431858,0.00001885326,0.9644877,0.0007027019,0.0337262,0.0008549198,0.000005079728],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1522001,0.001433398,0.8351448,0.0009176684,0.0001270293,0.0001191843,0.0001661909,0.0004602373,0.009431395],"genre_scores_gemma":[0.929222,0.0003568297,0.06484887,0.0001346849,0.00005340364,0.00007443983,0.0001146245,0.00007033077,0.005124804],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002826263,"threshold_uncertainty_score":0.01298851,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2318437048557492,"score_gpt":0.3587837408272864,"score_spread":0.1269400359715372,"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."}}