{"id":"W2101198401","doi":"10.1109/dsn.2010.5544951","title":"Data recovery for web applications","year":2010,"lang":"en","type":"article","venue":"","topic":"Web Application Security Vulnerabilities","field":"Computer Science","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Backup; Undo; Computer science; Data loss; Overhead (engineering); Web application; Data recovery; Vulnerability (computing); System administrator; Database; Web server; Computer security; World Wide Web; Operating system; The Internet","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":[0.002330844,0.0009640326,0.0007024341,0.00236544,0.001453293,0.001961951,0.002102244,0.001266811,0.003326169],"category_scores_gemma":[0.01497738,0.0007919801,0.0006610177,0.001380661,0.0007894965,0.00350685,0.003253513,0.001857335,0.002001598],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008835955,"about_ca_system_score_gemma":0.001687809,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00331423,"about_ca_topic_score_gemma":0.00264049,"domain_scores_codex":[0.9963147,0.0006490204,0.0003492605,0.0004935159,0.001838822,0.0003546878],"domain_scores_gemma":[0.9871488,0.002548618,0.0017044,0.00569884,0.002464924,0.000434443],"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":[0.001073368,0.0005959981,0.02598733,0.0007664373,0.0001397891,0.00140107,0.00117449,0.02333872,0.06907264,0.007549277,0.03436073,0.8345402],"study_design_scores_gemma":[0.0002178561,0.000618378,0.01769517,0.0003625359,0.0002262573,0.002854342,0.001049647,0.6036696,0.2655158,0.0193066,0.08823368,0.0002501203],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2110201,0.003329071,0.6055532,0.003245802,0.0004097293,0.001329164,0.001085385,0.1603912,0.01363629],"genre_scores_gemma":[0.7580754,0.0009256559,0.2235447,0.0007351242,0.0001083252,0.0002892178,0.00168621,0.002752824,0.01188253],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003326169,"threshold_uncertainty_score":0.01232678,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04197162548359137,"score_gpt":0.3091289613369031,"score_spread":0.2671573358533117,"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."}}