{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002256956,0.00007895249,0.0001418322,0.000333885,0.0000508441,0.0001708286,0.0002978404,0.00007335762,0.00000355372],"category_scores_gemma":[0.000009400099,0.0000677756,0.00005106725,0.001723458,0.000006412614,0.0002110725,0.00002816657,0.0001056821,0.000005183484],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004104206,"about_ca_system_score_gemma":0.00002060127,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008659973,"about_ca_topic_score_gemma":0.000003742202,"domain_scores_codex":[0.9992161,0.0000742316,0.0001814846,0.0002557927,0.000133379,0.0001390132],"domain_scores_gemma":[0.9995232,0.00001019569,0.00004845607,0.0003277633,0.00005235085,0.00003800904],"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":[0.000004520179,0.0001574018,0.002048811,0.000007685363,0.00007284473,0.00001870568,0.0006653495,0.9109379,0.002199781,0.06422675,0.0140062,0.005654069],"study_design_scores_gemma":[0.00009680701,0.00003071587,0.005106858,0.00001108275,0.00001234172,0.00001489472,0.00003378511,0.9922531,0.001571805,0.0004777967,0.0002443124,0.0001465334],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02606352,0.0001826772,0.9654884,0.001038912,0.000150797,0.000104915,2.53544e-7,0.0006608897,0.006309598],"genre_scores_gemma":[0.9443938,0.0000146708,0.05420595,0.0001324417,0.00004033855,0.000002327096,0.00000404532,0.000001667982,0.001204793],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9183303,"threshold_uncertainty_score":0.2763809,"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."}}