{"id":"W2041783719","doi":"10.1145/2517349.2522727","title":"Do not blame users for misconfigurations","year":2013,"lang":"en","type":"article","venue":"","topic":"Software System Performance and Reliability","field":"Computer Science","cited_by":173,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Division of Computer and Network Systems; NetApp; University of California, San Diego; National Science Foundation","keywords":"Computer science; Software bug; Blame; Software; Backporting; Software engineering; Software maintenance; Software configuration management; Computer security; Software development; World Wide Web; Component-based software engineering; Operating system; Software construction","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":[0.0001376836,0.00006587702,0.00008153795,0.00003255026,0.0001063097,0.0001785443,0.000372624,0.00004175082,0.0001385881],"category_scores_gemma":[0.00003810454,0.00004558656,0.00005804537,0.00011026,0.00002198622,0.0005954757,0.00003840408,0.00003368399,0.0005720621],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001621848,"about_ca_system_score_gemma":0.00004097085,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008622562,"about_ca_topic_score_gemma":0.00000581831,"domain_scores_codex":[0.9993567,0.00001144595,0.0001555278,0.0002069375,0.0001031358,0.0001662154],"domain_scores_gemma":[0.9992377,0.0001012751,0.00003072394,0.0004432667,0.0001300055,0.00005700198],"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":[0.00001363727,0.0003147177,0.02395682,0.000301094,0.0001125138,0.000001476307,0.004918953,0.0005699801,0.01117161,0.3872827,0.3293906,0.2419659],"study_design_scores_gemma":[0.003523309,0.0008304136,0.165409,0.0001157216,0.00003141554,0.00004658069,0.0009566461,0.4654248,0.07801285,0.04390721,0.2397406,0.002001493],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1059885,0.00001521144,0.8792559,0.005222025,0.0006210753,0.0007676767,0.00000167064,0.000329352,0.007798527],"genre_scores_gemma":[0.9545465,0.000001992876,0.04201429,0.000648615,0.00006068755,0.0001879753,0.000001256232,0.000003595546,0.002535094],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8485579,"threshold_uncertainty_score":0.7352892,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02038757480416186,"score_gpt":0.2546589506544686,"score_spread":0.2342713758503067,"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."}}