{"id":"W4256473940","doi":"10.1145/2872887.2750398","title":"SLIP","year":2015,"lang":"en","type":"article","venue":"ACM SIGARCH Computer Architecture News","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"National Security Agency","keywords":"Cache; Computer science; Dram; Parallel computing; CPU cache; Energy consumption; Slip (aerodynamics); Cache algorithms; Memory hierarchy; Efficient energy use; Embedded system; Operating system; Computer hardware; Engineering; Electrical 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002913606,0.0004644589,0.0004421603,0.0005431768,0.0004515785,0.001314449,0.001113268,0.0005502924,0.04615929],"category_scores_gemma":[0.001187094,0.0002423684,0.0003601414,0.001018943,0.0002836196,0.00157916,0.0008803257,0.0007074529,0.01685796],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007692933,"about_ca_system_score_gemma":0.001007822,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002213237,"about_ca_topic_score_gemma":0.003315952,"domain_scores_codex":[0.9994724,0.00004322487,0.00002584341,0.0001013066,0.0002561996,0.0001010781],"domain_scores_gemma":[0.9991795,0.0001146175,0.00006958865,0.0002556704,0.0003275021,0.00005302575],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009911774,0.0002788964,0.00609327,0.0009491892,0.0000798344,0.0003811608,0.0001562901,0.05992012,0.05883807,0.06978142,0.1944041,0.6081266],"study_design_scores_gemma":[0.0001564605,0.0006800897,0.005412959,0.0001200849,0.00006967512,0.0007543149,0.0001163692,0.182935,0.08019634,0.03175241,0.6977268,0.00007952582],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1854144,0.005885262,0.2501345,0.002803525,0.001875819,0.0004140276,0.008332026,0.04005242,0.5050881],"genre_scores_gemma":[0.6498535,0.002775639,0.1012146,0.002192452,0.0004017938,0.0003224461,0.01351797,0.00380515,0.2259164],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04615929,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03076761984409592,"score_gpt":0.2738943726696939,"score_spread":0.243126752825598,"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."}}