{"id":"W2973123143","doi":"10.1007/s11241-019-09338-8","title":"Reduced latency DRAM for multi-core safety-critical real-time systems","year":2019,"lang":"en","type":"article","venue":"Real-Time Systems","topic":"Real-Time Systems Scheduling","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Memory controller; Computer science; Dram; CAS latency; Latency (audio); Embedded system; Registered memory; Interleaved memory; Multi-core processor; Dynamic random-access memory; Static random-access memory; Parallel computing; Memory management; Semiconductor memory; Operating system; Computer hardware; Telecommunications","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":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004064054,0.001199226,0.002466556,0.0006220459,0.0005802272,0.001483581,0.002863487,0.0009056745,0.0001080346],"category_scores_gemma":[0.0005671617,0.001121891,0.000698255,0.001207085,0.0001714004,0.001851601,0.0005845149,0.0005228603,0.009897322],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007916935,"about_ca_system_score_gemma":0.000679441,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003168274,"about_ca_topic_score_gemma":0.000005485593,"domain_scores_codex":[0.9894485,0.0009700922,0.002894601,0.002665692,0.001648158,0.00237298],"domain_scores_gemma":[0.9911684,0.001801178,0.001008545,0.00392365,0.001127017,0.0009712576],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003313077,0.0008912676,0.001170162,0.006454305,0.0008334955,0.0002825542,0.002836214,0.01140735,0.8059422,0.1499163,0.01840218,0.001532654],"study_design_scores_gemma":[0.002869213,0.0006140087,0.0005887268,0.00219584,0.0001040793,0.0007171567,0.0003576294,0.9841346,0.0008879799,0.0001384083,0.005562289,0.00183011],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3153262,0.004203934,0.3313298,0.002043626,0.04669701,0.04479859,0.0009468385,0.01470461,0.2399494],"genre_scores_gemma":[0.8621157,0.000208891,0.06366239,0.00005897641,0.002767873,0.001475253,0.0002613253,0.0005966821,0.06885286],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9727272,"threshold_uncertainty_score":0.999553,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0304387482999133,"score_gpt":0.2935015980062963,"score_spread":0.2630628497063831,"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."}}