{"id":"W4244187109","doi":"10.1109/isca.1993.698572","title":"Performance Of Cached Dram Organizations In Vector Supercomputers","year":2005,"lang":"en","type":"article","venue":"","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hewlett-Packard (Canada)","funders":"","keywords":"Dram; Cache; Computer science; Parallel computing; Operating system; Embedded system; Computer architecture; Computer hardware","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":[0.0008419365,0.000309903,0.0003840247,0.0006591386,0.0008066807,0.00142797,0.0007960492,0.0004230374,0.003967596],"category_scores_gemma":[0.003794905,0.0003609854,0.0001485899,0.001345923,0.0005108923,0.001420687,0.0006197465,0.000489466,0.0005259921],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008990086,"about_ca_system_score_gemma":0.001103369,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003241247,"about_ca_topic_score_gemma":0.003766693,"domain_scores_codex":[0.9990915,0.0002131718,0.00005513656,0.0001552449,0.0001993224,0.0002855325],"domain_scores_gemma":[0.9969536,0.001328927,0.0002466236,0.0004165648,0.0006702628,0.0003840429],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.01557846,0.002164573,0.07888956,0.0007562976,0.0004570432,0.0009218736,0.001586662,0.5031834,0.1497657,0.03248048,0.04191501,0.1723009],"study_design_scores_gemma":[0.0005129219,0.003322908,0.0227483,0.00005879638,0.0002063647,0.000313102,0.00115052,0.8651095,0.09167505,0.006328853,0.008488229,0.00008551594],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947467,0.0005336975,0.001218139,0.0001566588,0.00005376311,0.000006623935,0.0001706675,0.0003933978,0.002720263],"genre_scores_gemma":[0.9970493,0.0001298692,0.0009970734,0.00002452841,0.00001632226,0.000006303557,0.0003553185,0.00003196098,0.001389396],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003967596,"threshold_uncertainty_score":0.01327288,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007527404484576747,"score_gpt":0.2115978204916923,"score_spread":0.2040704160071155,"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."}}