{"id":"W1994805819","doi":"10.1145/1621960.1621964","title":"Temperature reduction analysis in Sentry Tag cache systems","year":2009,"lang":"en","type":"article","venue":"","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Cache; Reduction (mathematics); Computer science; Processor design; Cost reduction; Embedded system; Power management; Thermal management of electronic devices and systems; Power (physics); Operating system; Engineering; Mechanical 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":[0.0001934869,0.0002250907,0.0003124573,0.0004833814,0.000294205,0.0003729383,0.0004982979,0.0001986007,0.001723008],"category_scores_gemma":[0.0008422651,0.0001535993,0.0002426605,0.0004598377,0.0003209882,0.0005644046,0.0002387408,0.0002677673,0.0002718797],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005239986,"about_ca_system_score_gemma":0.0004135672,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00232277,"about_ca_topic_score_gemma":0.002475051,"domain_scores_codex":[0.9998066,0.00003137742,0.000007475684,0.00002076803,0.00007990011,0.00005392537],"domain_scores_gemma":[0.9996972,0.0001033847,0.00002976547,0.00004928634,0.0001086856,0.00001172052],"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":[0.000649737,0.00009901634,0.004815311,0.0002521771,0.00006884146,0.0002917503,0.0002559838,0.7763904,0.1042457,0.04568144,0.004329664,0.06292003],"study_design_scores_gemma":[0.00001024819,0.00008617108,0.0009056004,0.000005086429,0.00001963554,0.00005563942,0.00001888176,0.9804262,0.01236284,0.004980294,0.001122398,0.000007075782],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7988333,0.002692072,0.1812144,0.0003585616,0.00008042297,0.00004812306,0.0001754558,0.0009631665,0.01563441],"genre_scores_gemma":[0.9911414,0.0001719933,0.006080281,0.0000263327,0.00001366237,0.00001489503,0.00007021236,0.00005454171,0.002426658],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00232277,"threshold_uncertainty_score":0.005764067,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008431627701438071,"score_gpt":0.2463295000009144,"score_spread":0.2378978722994763,"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."}}