{"id":"W2585930566","doi":"10.5555/1855511.1855517","title":"Understanding latent sector errors and how to protect against them","year":2010,"lang":"en","type":"article","venue":"File and Storage Technologies","topic":"Advanced Data Storage Technologies","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Redundancy (engineering); Computer science; Field (mathematics); Data redundancy; Reliability engineering; Data reliability; RAID; Reliability (semiconductor); Latent variable; Risk analysis (engineering); Data mining; Database; Engineering; Machine learning; Operating system","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":[],"consensus_categories":[],"category_scores_codex":[0.000159369,0.0002594574,0.0002503342,0.0002905449,0.0002908866,0.0002676613,0.00102559,0.0002850044,0.00001579828],"category_scores_gemma":[0.000742807,0.0002139862,0.00002936832,0.0005480376,0.0003594786,0.0006591802,0.001668885,0.0005959644,0.00001384373],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006645223,"about_ca_system_score_gemma":0.00002253939,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004988584,"about_ca_topic_score_gemma":0.00003501774,"domain_scores_codex":[0.9985995,0.00001421124,0.0001248144,0.000648661,0.0001893316,0.000423504],"domain_scores_gemma":[0.9986956,0.0001248058,0.00009236228,0.0009917355,0.00003355261,0.00006192819],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00003332037,0.0001056079,0.002371736,0.0001708904,0.00009428481,0.0005110692,0.001528642,0.00005056035,0.1201693,0.3465883,0.05722999,0.4711463],"study_design_scores_gemma":[0.002676198,0.002258711,0.007976684,0.000566357,0.00005303565,0.0008229056,0.01916607,0.02318672,0.2197413,0.4687867,0.2488091,0.005956279],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3578531,0.0002564243,0.6158576,0.01371426,0.0003812128,0.0009599772,0.0002239344,0.01017925,0.0005742541],"genre_scores_gemma":[0.8604815,0.00007963341,0.1390794,0.00007608356,0.00001253683,0.0001249067,0.000006592767,0.00001544137,0.0001239016],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5026284,"threshold_uncertainty_score":0.8726104,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06511193931774845,"score_gpt":0.2381260531265218,"score_spread":0.1730141138087734,"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."}}