{"id":"W2583233440","doi":"","title":"An analysis of data corruption in the storage stack","year":2008,"lang":"en","type":"article","venue":"","topic":"Advanced Data Storage Technologies","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Checksum; Computer science; 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":[0.000323755,0.00005763058,0.0001280234,0.000272317,0.00004040855,0.00001801883,0.003796001,0.00003052356,0.00001131597],"category_scores_gemma":[0.00005821894,0.0000382671,0.00001752237,0.001865474,0.00008679099,0.00175684,0.0005161391,0.00008132696,0.000004846975],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001847012,"about_ca_system_score_gemma":0.00001841714,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001323906,"about_ca_topic_score_gemma":0.0003381582,"domain_scores_codex":[0.9991707,0.0000531049,0.0001529326,0.0002976994,0.0002170464,0.000108468],"domain_scores_gemma":[0.9965895,0.00007821788,0.00006773909,0.003227028,0.0000256771,0.00001180122],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003646845,0.001743265,0.1289822,0.00002520835,0.0004149351,0.0006260735,0.01112382,0.07982938,0.00707744,0.4546014,0.008237282,0.3073025],"study_design_scores_gemma":[0.0001116184,0.00007127348,0.1018194,0.000001587214,0.00002792129,0.000008333959,0.0005880645,0.8952206,0.0002680772,0.0008396956,0.0009313464,0.00011208],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1766591,0.00002850028,0.8227924,0.000134733,0.00001646984,0.00005275614,0.00003041938,0.0001233848,0.0001621621],"genre_scores_gemma":[0.8681769,0.00003160498,0.1316093,0.00008450857,0.000003079554,0.000002030464,0.00007660282,0.000001501861,0.00001456587],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8153912,"threshold_uncertainty_score":0.7053978,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09062221339042517,"score_gpt":0.3364729702660925,"score_spread":0.2458507568756673,"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."}}