{"id":"W4396686429","doi":"10.1145/3629527.3651426","title":"Context-aware Root Cause Localization in Distributed Traces Using Social Network Analysis (Work In Progress paper)","year":2024,"lang":"en","type":"article","venue":"","topic":"Software System Performance and Reliability","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University; Brock University; University of Alberta","funders":"","keywords":"Root cause analysis; Computer science; Root cause; Context (archaeology); Root (linguistics); Social network analysis; Work (physics); Social network (sociolinguistics); Data science; Distributed computing; World Wide Web; Engineering; Social media; Reliability 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":[0.0009968085,0.0008628836,0.001146423,0.004329514,0.000670285,0.001221387,0.001089493,0.0009663154,0.001071897],"category_scores_gemma":[0.006305544,0.0003121881,0.0008208471,0.002109422,0.0004278129,0.001702823,0.001143458,0.0007273212,0.0003842745],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005003005,"about_ca_system_score_gemma":0.001002167,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005321619,"about_ca_topic_score_gemma":0.008149994,"domain_scores_codex":[0.9989038,0.0003856914,0.00005999698,0.0002651377,0.0002633372,0.0001220975],"domain_scores_gemma":[0.9959003,0.002137349,0.0005159865,0.0005196283,0.0007147991,0.0002119623],"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":[0.000755358,0.001410206,0.089055,0.0006735319,0.0008590461,0.0010969,0.001458392,0.3155183,0.0455672,0.006782788,0.006121879,0.5307014],"study_design_scores_gemma":[0.00001729476,0.0001050436,0.00870351,0.00002344985,0.00006626164,0.0001920876,0.0003396884,0.9826863,0.004297326,0.002748275,0.0007965753,0.00002420028],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.2314545,0.000731518,0.7626143,0.0005364952,0.0001227695,0.0002161582,0.0005213316,0.002314168,0.00148875],"genre_scores_gemma":[0.8763922,0.0002692669,0.1215989,0.00005151321,0.0001038882,0.00007818392,0.0004320676,0.00006986034,0.00100416],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.005321619,"threshold_uncertainty_score":0.01058131,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01787639511066629,"score_gpt":0.2840192168135607,"score_spread":0.2661428217028944,"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."}}