{"id":"W3010215199","doi":"10.1145/3375633","title":"Visualizing Distributed System Executions","year":2020,"lang":"en","type":"article","venue":"ACM Transactions on Software Engineering and Methodology","topic":"Software System Performance and Reliability","field":"Computer Science","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; U.S. Air Force; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Universities Space Research Association; U.S. Air Force Academy; National Science Foundation","keywords":"Computer science; Timestamp; Process (computing); Distributed computing; Software; Theoretical computer science; Programming language; Real-time computing","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001309951,0.001054821,0.0003609925,0.002647884,0.0004706404,0.00204861,0.0006246357,0.0005670994,0.006619594],"category_scores_gemma":[0.005929349,0.0002710717,0.0004375544,0.001428123,0.0004138588,0.002231319,0.001590948,0.0009241152,0.0007610759],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003920556,"about_ca_system_score_gemma":0.0006667887,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002452938,"about_ca_topic_score_gemma":0.002781545,"domain_scores_codex":[0.999348,0.000268227,0.00004208508,0.0001104779,0.0001848378,0.00004640189],"domain_scores_gemma":[0.9965742,0.002422669,0.0002370704,0.0003127719,0.0003166063,0.0001366852],"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":[0.00178643,0.0005248461,0.04299581,0.002072881,0.000263959,0.001950585,0.03475974,0.09037145,0.07613567,0.08058929,0.03846635,0.630083],"study_design_scores_gemma":[0.0003446852,0.0008490329,0.04841563,0.0006736777,0.000242976,0.001793644,0.01387442,0.5444443,0.05150901,0.1260393,0.2115728,0.0002406793],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2087352,0.001185257,0.7457102,0.0009438465,0.0001528388,0.0003820379,0.004943579,0.02082503,0.01712207],"genre_scores_gemma":[0.6974926,0.0009052538,0.2935075,0.00007626793,0.00005380046,0.0003109321,0.002914361,0.001003363,0.003735982],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006619594,"threshold_uncertainty_score":0.02214479,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0773188187625623,"score_gpt":0.2982571631356249,"score_spread":0.2209383443730626,"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."}}