{"id":"W2128043581","doi":"10.1109/trustcom.2013.250","title":"Performance Evaluation of the Time Analysable On-Demand Coherent Cache","year":2013,"lang":"en","type":"article","venue":"","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"European Commission; Ministère de l'Économie, de la Science et de l'Innovation - Québec","keywords":"Cache; Computer science; Predictability; Cache coherence; Cache algorithms; Parallel computing; CPU cache; Operating system; Statistics; Mathematics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005869264,0.00005776067,0.00007395542,0.00004010886,0.00007296088,0.00004263241,0.0004905727,0.0000248607,0.0002111424],"category_scores_gemma":[0.00002947527,0.00003414676,0.00003401747,0.0002539731,0.00002055862,0.0001618145,0.0001038661,0.00004592007,0.0001240307],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000264166,"about_ca_system_score_gemma":0.0000462434,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002758007,"about_ca_topic_score_gemma":6.010317e-7,"domain_scores_codex":[0.9991511,0.0001090959,0.0001407663,0.0001322196,0.0003758523,0.00009092713],"domain_scores_gemma":[0.9991809,0.00003208045,0.00008239244,0.0004202173,0.0002636616,0.00002072822],"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":[0.000003501775,0.0002435528,0.009989124,0.00001786875,0.00005930355,7.112884e-8,0.0005515486,0.7591566,0.002318968,0.007389059,0.09246189,0.1278085],"study_design_scores_gemma":[0.00009348551,0.00003269697,0.01106315,0.00001248443,0.000005077321,4.276527e-7,0.000001499793,0.9764403,0.01172384,0.0005095006,0.00007070976,0.00004685067],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5888509,0.00004442684,0.2832355,0.001121031,0.0001218065,0.0006837029,2.794055e-7,0.0002791433,0.1256633],"genre_scores_gemma":[0.9812561,0.000003771706,0.01666524,0.000166709,0.000009208369,0.00001800281,4.834896e-7,0.000002342173,0.001878163],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3924052,"threshold_uncertainty_score":0.2311861,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02381358641170845,"score_gpt":0.2606076804790735,"score_spread":0.2367940940673651,"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."}}