{"id":"W2100246847","doi":"10.1109/icpc.2011.24","title":"Capturing Expert Knowledge for Automated Configuration Fault Diagnosis","year":2011,"lang":"en","type":"article","venue":"","topic":"Software System Performance and Reliability","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Troubleshooting; Computer science; Automation; Expert system; Process (computing); Software engineering; Software; Configuration Management (ITSM); Fault (geology); Software bug; Software configuration management; Artificial intelligence; Machine learning; Software system; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004033181,0.001035608,0.0008787564,0.004362206,0.0008585177,0.001658084,0.001715313,0.001489627,0.002276068],"category_scores_gemma":[0.01588096,0.0005570546,0.0006053679,0.001614732,0.0007141291,0.002585508,0.001569785,0.001710412,0.0009627301],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001138457,"about_ca_system_score_gemma":0.002792084,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008189049,"about_ca_topic_score_gemma":0.01166211,"domain_scores_codex":[0.9962474,0.001479266,0.0002470033,0.0006104284,0.001179414,0.0002365546],"domain_scores_gemma":[0.9889783,0.005876772,0.0009467711,0.001582779,0.002351522,0.0002638002],"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":[0.0001869756,0.0008304578,0.008734337,0.0003415685,0.00009150673,0.0003778694,0.0007195414,0.06991018,0.02490808,0.006550397,0.005335856,0.8820132],"study_design_scores_gemma":[0.00004307523,0.0001401554,0.004420832,0.0001393706,0.00005053382,0.0003247056,0.0002973679,0.9424895,0.02403056,0.02186128,0.006136903,0.00006579585],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03192317,0.0002756017,0.9607286,0.0004871324,0.00001899252,0.0003000011,0.0002181703,0.003285815,0.002762508],"genre_scores_gemma":[0.3422623,0.0002281297,0.6553978,0.0001848037,0.00002781973,0.0002282485,0.0006790147,0.00008845789,0.0009034346],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008189049,"threshold_uncertainty_score":0.02132976,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04808761548663284,"score_gpt":0.2883663511378135,"score_spread":0.2402787356511807,"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."}}