{"id":"W7033089469","doi":"","title":"On Optimizing Die-stacked DRAM Caches","year":2013,"lang":"en","type":"dissertation","venue":"Library and Archives Canada (Government of Canada)","topic":"Literary Theory and Cultural Hermeneutics","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Dram; Static random-access memory; CAS latency; Cache; Boosting (machine learning); Latency (audio); Universal memory","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00000619697,0.0003349952,0.0003422746,0.00002377297,0.0004063849,0.0001233399,0.0002437154,0.00004910826,0.000891804],"category_scores_gemma":[0.000001843982,0.000274953,0.00005376707,0.00001456553,0.00008627711,0.0004855144,0.00004099161,0.0002532907,2.803063e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006818723,"about_ca_system_score_gemma":0.0005891781,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002114285,"about_ca_topic_score_gemma":0.06265146,"domain_scores_codex":[0.9980196,0.00005950001,0.0003332724,0.0002775478,0.001012582,0.000297531],"domain_scores_gemma":[0.9991891,0.0001979147,0.0002344529,0.0001919039,0.000001191788,0.0001854056],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004939823,0.0000351594,0.00002253097,0.0004214852,0.0001370671,0.00004267204,0.006231978,0.00002103919,0.0008725376,0.9821624,0.003460526,0.006098615],"study_design_scores_gemma":[0.0008513552,0.0004727534,0.001237342,0.001573307,0.0002086707,0.000003602375,0.1410212,0.0007028577,0.07906722,0.04552476,0.7275496,0.001787371],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2004649,0.0003148718,1.762555e-7,0.0003915283,0.0007449417,0.0001827036,0.0002946947,0.0000154473,0.7975907],"genre_scores_gemma":[0.6126928,0.0001169494,0.00004228292,0.001045668,0.0001878464,0.00001523274,0.0002175752,0.00003222819,0.3856494],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9366376,"threshold_uncertainty_score":0.9999703,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005942240283659086,"score_gpt":0.1466872113550803,"score_spread":0.1407449710714213,"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."}}