{"id":"W4417439110","doi":"10.1109/tse.2025.3645143","title":"CARE: Context Aware Root Cause Identification Using Distributed Traces and Profiling Metrics","year":2025,"lang":"","type":"article","venue":"IEEE Transactions on Software Engineering","topic":"Software System Performance and Reliability","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University; Brock University; University of Alberta","funders":"","keywords":"Root cause; Observability; Root cause analysis; Profiling (computer programming); Root (linguistics); Identification (biology); Benchmark (surveying)","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":[0.002201068,0.00279651,0.001294826,0.005943173,0.000741349,0.00184721,0.001997745,0.001221294,0.001159078],"category_scores_gemma":[0.01417998,0.0004483613,0.0008547677,0.00224472,0.0006089217,0.002525133,0.002630617,0.001627423,0.0008533879],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008553186,"about_ca_system_score_gemma":0.002346373,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008404993,"about_ca_topic_score_gemma":0.01559939,"domain_scores_codex":[0.9969198,0.0006260702,0.0002537327,0.0008315558,0.001153697,0.0002152515],"domain_scores_gemma":[0.9913499,0.003075436,0.001569627,0.001691445,0.001856445,0.000457051],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004995065,0.0008313755,0.1676363,0.0009403484,0.0006922047,0.001297865,0.0009440338,0.1481529,0.02307469,0.007274642,0.0287601,0.619896],"study_design_scores_gemma":[0.00005053357,0.0002635114,0.01808961,0.0001236779,0.0001403369,0.0007875201,0.0006700643,0.9430099,0.01275836,0.01608283,0.007934905,0.00008878243],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1032537,0.00179763,0.8481811,0.001000568,0.000274942,0.0006117056,0.003388509,0.03784559,0.003646212],"genre_scores_gemma":[0.7560459,0.0005722594,0.2353939,0.0003182645,0.0001217698,0.0002912083,0.004742249,0.0006090641,0.001905265],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008404993,"threshold_uncertainty_score":0.01671213,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01619043411345925,"score_gpt":0.2561327355253319,"score_spread":0.2399423014118726,"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."}}