{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005329616,0.000652809,0.001023342,0.001378483,0.0007075742,0.002937318,0.001434482,0.001808949,0.002098893],"category_scores_gemma":[0.03443748,0.0005084603,0.0005001823,0.001566487,0.002527116,0.009912533,0.001752537,0.001449529,0.0005187737],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001181907,"about_ca_system_score_gemma":0.002288718,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00256534,"about_ca_topic_score_gemma":0.00162839,"domain_scores_codex":[0.9969805,0.00119589,0.0002098517,0.0005052267,0.0007724537,0.0003360999],"domain_scores_gemma":[0.9559992,0.02626584,0.00517192,0.008225597,0.003786533,0.0005509291],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003828504,0.0002126736,0.03264172,0.00064466,0.0001462778,0.0003589478,0.001137088,0.4478525,0.009103383,0.2602267,0.008101764,0.2391914],"study_design_scores_gemma":[0.0000392831,0.0001587587,0.007176034,0.0001227192,0.00004866639,0.000373054,0.000943724,0.6622443,0.006837318,0.3165858,0.00537198,0.00009833965],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.104938,0.001784959,0.8855234,0.003276049,0.0001138551,0.00008888186,0.0004958553,0.000469284,0.003309745],"genre_scores_gemma":[0.8978843,0.001913325,0.09755079,0.0002758939,0.0002141708,0.00008516316,0.000374402,0.0001193055,0.001582593],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005329616,"threshold_uncertainty_score":0.02818608,"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."}}