{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004637052,0.0001804662,0.0003072254,0.00009654738,0.0001959931,0.00004244766,0.0004226218,0.0001426841,0.000004402856],"category_scores_gemma":[0.0006884747,0.0001662588,0.00008971596,0.0004529745,0.00003257583,0.0001942851,0.00002776892,0.0002814612,0.00002088946],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005010866,"about_ca_system_score_gemma":0.0000335033,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000145972,"about_ca_topic_score_gemma":4.88942e-7,"domain_scores_codex":[0.9987319,0.0001675864,0.0002760556,0.0004229167,0.000125267,0.0002762962],"domain_scores_gemma":[0.9981487,0.001054805,0.00004531692,0.0004974187,0.00005500628,0.0001987249],"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":[0.0002281111,0.0003813516,0.004164648,0.004408265,0.0009562559,0.0001755783,0.0156403,0.4103626,0.007325304,0.03989307,0.0008824366,0.5155821],"study_design_scores_gemma":[0.005606418,0.002936746,0.02098408,0.001075053,0.0004799288,0.001703744,0.002563661,0.8317084,0.04346219,0.001005876,0.08430057,0.004173314],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01108355,0.0001720576,0.9856799,0.0006698409,0.0006850348,0.0001367778,0.00002095339,0.001547438,0.000004457028],"genre_scores_gemma":[0.4586187,0.00002536793,0.5410916,0.0001513214,0.00005168884,0.00003920657,0.000003671584,0.00001208991,0.000006316022],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.5114087,"threshold_uncertainty_score":0.6779835,"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."}}