{"id":"W4389476308","doi":"10.1145/3613424.3623789","title":"Utopia: Fast and Efficient Address Translation via Hybrid Restrictive &amp; Flexible Virtual-to-Physical Address Mappings","year":2023,"lang":"en","type":"article","venue":"","topic":"Advanced Data Storage Technologies","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"VMware; Semiconductor Research Corporation","keywords":"Computer science; Physical address; Flexibility (engineering); Virtual memory; Translation (biology); Distributed computing; Swap (finance); Latency (audio); Virtual machine; Memory management; Embedded system; Overlay; Operating 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":[0.0005492744,0.001080346,0.0007935764,0.0008779583,0.0009897089,0.002118749,0.002787724,0.0007300364,0.005560285],"category_scores_gemma":[0.002368541,0.0005107647,0.0004182933,0.001467872,0.0008785659,0.003268436,0.003767883,0.001178063,0.002676829],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006129727,"about_ca_system_score_gemma":0.001615132,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001803418,"about_ca_topic_score_gemma":0.002509463,"domain_scores_codex":[0.9991436,0.0001481174,0.00007111944,0.0001615986,0.0003185073,0.0001570656],"domain_scores_gemma":[0.9989381,0.0002007805,0.00007831353,0.0005395219,0.0001792008,0.00006399693],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001738994,0.0004069255,0.002511446,0.0004699577,0.0001157318,0.0007056684,0.0006459534,0.04869502,0.1293504,0.04076478,0.04229489,0.7323002],"study_design_scores_gemma":[0.0002057655,0.0005435699,0.0006974738,0.00007999914,0.00006056265,0.0006389548,0.000324478,0.8001838,0.1195639,0.04202808,0.03554788,0.0001254441],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09984223,0.002927669,0.8482921,0.0003846519,0.0004628657,0.0002545821,0.0004774753,0.03229208,0.01506643],"genre_scores_gemma":[0.6618268,0.0006787754,0.3251288,0.0004303205,0.0001064861,0.0004029483,0.001263768,0.0008930779,0.009269028],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005560285,"threshold_uncertainty_score":0.018601,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03379198074303926,"score_gpt":0.2885548477365661,"score_spread":0.2547628669935269,"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."}}