{"id":"W2740127658","doi":"","title":"Proactive error prediction to improve storage system reliability","year":2017,"lang":"en","type":"article","venue":"USENIX Annual Technical Conference","topic":"Advanced Data Storage Technologies","field":"Computer Science","cited_by":52,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Reliability engineering; Computer science; Reliability (semiconductor); Engineering","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":[0.001405108,0.001086997,0.0008081137,0.0007607772,0.0006383716,0.001080025,0.001333675,0.0006255631,0.001942233],"category_scores_gemma":[0.007131419,0.0003717391,0.0003085562,0.0006371973,0.0003196089,0.001756541,0.0008258086,0.001322549,0.0005788554],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007167909,"about_ca_system_score_gemma":0.001532972,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004826402,"about_ca_topic_score_gemma":0.008340009,"domain_scores_codex":[0.999181,0.0001252709,0.00005103087,0.0001787754,0.0003657756,0.00009824552],"domain_scores_gemma":[0.9952619,0.001708766,0.0003945481,0.0008058972,0.001678022,0.0001509628],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001090959,0.000635691,0.01455799,0.0002326886,0.0001390619,0.0002571552,0.0002108682,0.5044585,0.02976689,0.005819308,0.02702245,0.4158085],"study_design_scores_gemma":[0.00001329419,0.00009585868,0.00112387,0.00001198497,0.00003087728,0.00004430147,0.00002008518,0.9849749,0.01058848,0.002181259,0.0009024967,0.00001255416],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2008119,0.002571505,0.7702767,0.002491785,0.001714721,0.0001280276,0.0006987034,0.01402375,0.007282997],"genre_scores_gemma":[0.959214,0.0002042994,0.03672033,0.0002683648,0.0001918222,0.00002402129,0.0002144524,0.0001349768,0.003027617],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004826402,"threshold_uncertainty_score":0.009596586,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03018740501013244,"score_gpt":0.2953837169928771,"score_spread":0.2651963119827447,"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."}}