{"id":"W2119092821","doi":"10.1145/2366231.2337161","title":"RAIDR","year":2012,"lang":"en","type":"article","venue":"ACM SIGARCH Computer Architecture News","topic":"Advanced Data Storage Technologies","field":"Computer Science","cited_by":449,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Army Research Office; Natural Sciences and Engineering Research Council of Canada; Samsung; National Science Foundation","keywords":"Dram; Memory controller; Computer science; Row; Dynamic random-access memory; CAS latency; Embedded system; Universal memory; Static random-access memory; Computer hardware; Overhead (engineering); Memory refresh; Controller (irrigation); Data retention; Semiconductor memory; Operating system; Computer memory","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001593714,0.001582989,0.001820139,0.001763725,0.001925627,0.003473337,0.004811743,0.001811901,0.0354217],"category_scores_gemma":[0.005038513,0.0008006716,0.001201481,0.0016109,0.0006851482,0.003185214,0.00324723,0.001840069,0.02991089],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00131661,"about_ca_system_score_gemma":0.002928046,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002773151,"about_ca_topic_score_gemma":0.003431198,"domain_scores_codex":[0.9966944,0.0004812641,0.0003573037,0.0006705949,0.001329238,0.0004672368],"domain_scores_gemma":[0.9968449,0.0004417003,0.0002540592,0.001211677,0.001107452,0.0001402906],"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":[0.001267987,0.0002776494,0.002798851,0.00139736,0.0002873008,0.0004320283,0.0002211221,0.02335243,0.0213187,0.05238113,0.2830775,0.613188],"study_design_scores_gemma":[0.0004813519,0.0007102711,0.001045206,0.0002702547,0.0003299942,0.002422736,0.0003578011,0.2152228,0.05791181,0.03879887,0.6821123,0.000336545],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.03052349,0.02467922,0.7047688,0.002775664,0.004589942,0.002049117,0.01092954,0.0599931,0.1596911],"genre_scores_gemma":[0.3044567,0.01000485,0.5220647,0.004416514,0.00153974,0.001863385,0.02497201,0.002510751,0.1281713],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.0354217,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01983698611201415,"score_gpt":0.2647596643035801,"score_spread":0.244922678191566,"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."}}