{"id":"W1415938757","doi":"10.5555/2685048.2685099","title":"lprof: a non-intrusive request flow profiler for distributed systems","year":2014,"lang":"en","type":"article","venue":"TSpace (University of Toronto)","topic":"Software System Performance and Reliability","field":"Computer Science","cited_by":103,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Debugging; Cloud computing; Profiling (computer programming); Distributed computing; Yarn; Database; Source code; Parsing; Code (set theory); Operating system; Programming language","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":[0.0004320101,0.0001423224,0.0003210884,0.00002571188,0.0002287369,0.000034171,0.0007683755,0.0001273133,0.0001127735],"category_scores_gemma":[0.0000512831,0.0001444221,0.0001284326,0.00009205554,0.00008024023,0.000808002,0.0001923513,0.00006585356,0.00002672423],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002472471,"about_ca_system_score_gemma":0.0000891825,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01548442,"about_ca_topic_score_gemma":0.001778277,"domain_scores_codex":[0.9989213,0.00006962994,0.0001284361,0.0003752715,0.0002206905,0.0002846413],"domain_scores_gemma":[0.9986011,0.0001041532,0.0001908448,0.0006756942,0.0003137802,0.0001144031],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001623291,0.001842515,0.0585461,0.01042108,0.001419487,0.00006830978,0.1249796,0.01214532,0.006815666,0.1109598,0.1111987,0.5599802],"study_design_scores_gemma":[0.002680864,0.0008564604,0.1357275,0.00029285,0.00006626964,0.00001291362,0.003471084,0.8308359,0.0003174748,0.0001392104,0.02494809,0.0006514485],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03486411,0.0001204367,0.9576816,0.0006693835,0.0008099849,0.0007953981,0.00003440582,0.0001918303,0.004832857],"genre_scores_gemma":[0.9751923,0.00001506938,0.02357158,0.00001425474,0.00009162283,0.00000391372,0.00002083128,0.000007155192,0.001083243],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9403282,"threshold_uncertainty_score":0.9910716,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00859205764850851,"score_gpt":0.2190193785743372,"score_spread":0.2104273209258287,"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."}}