{"id":"W2759804946","doi":"10.1109/nanoarch.2017.8053709","title":"Design and operational assessment of an intra-cell hybrid L2 cache","year":2017,"lang":"en","type":"article","venue":"","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Cache; Computer science; Macrocell; Dram; Static random-access memory; Phase-change memory; CPU cache; Cache pollution; Embedded system; Cache coloring; Cache algorithms; Computer architecture; Parallel computing; Computer hardware; Operating system; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003767172,0.00005801201,0.00007966509,0.00003285988,0.0002120145,0.0002673689,0.0005452097,0.00001836471,0.000009524484],"category_scores_gemma":[0.00001283914,0.00004948056,0.00001075951,0.00001868605,0.00003959981,0.0004284955,0.0001537936,0.00004440234,8.562261e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008341371,"about_ca_system_score_gemma":0.00007404678,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002925671,"about_ca_topic_score_gemma":6.756972e-7,"domain_scores_codex":[0.9994539,0.00005855822,0.0001165864,0.0001770165,0.000116217,0.0000777282],"domain_scores_gemma":[0.9993444,0.00003413289,0.00008208893,0.0004198721,0.00007405727,0.00004542168],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002300277,0.001423452,0.01070939,0.0000892669,0.00007816953,0.00005272232,0.001270223,0.2582776,0.02521378,0.4927737,0.01890063,0.1911881],"study_design_scores_gemma":[0.000136845,0.00008912767,0.002602801,0.000003625002,0.00000119759,0.000005545372,0.000001506083,0.9579458,0.03779908,0.001272284,0.00007424544,0.00006792323],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.008991532,0.000009943227,0.9837335,0.0003080575,0.0000395731,0.00008810939,3.40025e-7,0.00009161638,0.006737285],"genre_scores_gemma":[0.4889211,0.000005842424,0.510866,0.00006652888,0.000007498642,0.000002113528,7.437515e-7,0.000001434042,0.0001286947],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.6996682,"threshold_uncertainty_score":0.2578244,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03057903460643304,"score_gpt":0.3091469211433934,"score_spread":0.2785678865369604,"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."}}