{"id":"W2124192052","doi":"10.1109/ecrts.2014.37","title":"A Rank-Switching, Open-Row DRAM Controller for Time-Predictable Systems","year":2014,"lang":"en","type":"article","venue":"","topic":"Real-Time Systems Scheduling","field":"Computer Science","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Dram; Memory controller; Latency (audio); CAS latency; Verilog; Embedded system; Key (lock); Multi-core processor; Parallel computing; Controller (irrigation); Field-programmable gate array; Computer hardware; Operating system; Semiconductor memory","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":[0.000425405,0.0006801128,0.0003429319,0.0004930981,0.000363809,0.0009419785,0.001831735,0.0002892202,0.006628623],"category_scores_gemma":[0.001152638,0.0002731497,0.0002464139,0.0002678884,0.0003331247,0.0006860632,0.0004579654,0.0008204784,0.001133697],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006868718,"about_ca_system_score_gemma":0.001036111,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001954572,"about_ca_topic_score_gemma":0.003685007,"domain_scores_codex":[0.9994754,0.00006776241,0.00004809916,0.00009231812,0.0002296079,0.00008680031],"domain_scores_gemma":[0.9992527,0.0001824383,0.00009790938,0.0001929936,0.000208853,0.00006503451],"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":[0.001489078,0.0005182171,0.002956433,0.0009206464,0.0001586948,0.0006580225,0.0004329267,0.152863,0.3437199,0.03504585,0.04272781,0.4185094],"study_design_scores_gemma":[0.0001876411,0.0008428334,0.001005023,0.00005292377,0.0001049686,0.0003564652,0.00005010344,0.6881779,0.2336478,0.004753724,0.07071397,0.0001065948],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.12059,0.002791739,0.7887673,0.0002891832,0.0005332906,0.0004313971,0.0009688765,0.05946774,0.02616052],"genre_scores_gemma":[0.8096497,0.0003318582,0.1770417,0.0003599087,0.0001372507,0.0001849695,0.0007399659,0.001333401,0.0102212],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006628623,"threshold_uncertainty_score":0.02217501,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0125119818389603,"score_gpt":0.2498818602644712,"score_spread":0.2373698784255109,"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."}}