{"id":"W4205197572","doi":"10.3390/electronics11020240","title":"Exploiting Data Compression for Adaptive Block Placement in Hybrid Caches","year":2022,"lang":"en","type":"article","venue":"Electronics","topic":"Advanced Data Storage Technologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Ministry of Science and ICT, South Korea; National Research Foundation of Korea; National Research Foundation","keywords":"Static random-access memory; Computer science; Cache; Block (permutation group theory); Latency (audio); Metadata; Embedded system; Parallel computing; Non-volatile memory; Computer hardware; 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":[0.0002347799,0.0003084542,0.0002519416,0.0004202159,0.0002493849,0.0004144797,0.0007903169,0.0002964245,0.0006308925],"category_scores_gemma":[0.001122561,0.0001571751,0.0001183905,0.0005964541,0.0002537707,0.0009717761,0.0004248307,0.0002689371,0.0002913506],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003948921,"about_ca_system_score_gemma":0.0004245951,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001053678,"about_ca_topic_score_gemma":0.00304675,"domain_scores_codex":[0.9998041,0.00003073578,0.00001781105,0.00003362646,0.00009123185,0.00002266198],"domain_scores_gemma":[0.9994468,0.0001455086,0.00009052527,0.0001508342,0.0001416771,0.00002461581],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0005728319,0.0001931862,0.005986296,0.0001674228,0.00004929493,0.0003242999,0.0003134957,0.2561249,0.2206937,0.01153599,0.003472574,0.5005661],"study_design_scores_gemma":[0.00003024847,0.0002482865,0.0009917794,0.00001466403,0.00001794711,0.0002183873,0.0000834227,0.9035402,0.08669747,0.003587981,0.004549298,0.00002028877],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2382547,0.0007926757,0.7557799,0.0001693723,0.00008283441,0.00007947288,0.0000855764,0.002256487,0.00249898],"genre_scores_gemma":[0.8360628,0.0001784626,0.1621186,0.00007177603,0.0000322396,0.00004953432,0.0001188083,0.00007811898,0.001289724],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001053678,"threshold_uncertainty_score":0.002865195,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05817412280470916,"score_gpt":0.2891994388777034,"score_spread":0.2310253160729942,"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."}}