{"id":"W2795609103","doi":"10.1145/3184407.3184411","title":"Choice of Aggregation Groups for Layered Performance Model Simplification","year":2018,"lang":"en","type":"article","venue":"","topic":"Software System Performance and Reliability","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Merge (version control); Computer science; Queueing theory; Simple (philosophy); Theoretical computer science; Distributed computing; Algorithm; Parallel computing; Computer network","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":[0.003968958,0.001331552,0.00136104,0.001260759,0.001248966,0.002179421,0.002255046,0.0009495025,0.002624185],"category_scores_gemma":[0.01324029,0.0006522484,0.001893231,0.001229404,0.001270404,0.003213698,0.003666869,0.002558415,0.0008925734],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001289125,"about_ca_system_score_gemma":0.001847196,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004440933,"about_ca_topic_score_gemma":0.003372903,"domain_scores_codex":[0.9975852,0.0009334592,0.0001889422,0.0002972657,0.0006140489,0.0003811529],"domain_scores_gemma":[0.9951551,0.00167417,0.0005450511,0.001615538,0.0008005775,0.0002096541],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005713298,0.0001871758,0.005034103,0.0002112822,0.0001423117,0.0008161615,0.001838507,0.5668505,0.01783524,0.3198643,0.004900613,0.08174846],"study_design_scores_gemma":[0.00007094756,0.0001330422,0.0007241794,0.00009107231,0.00009907855,0.0001231487,0.0003266617,0.8500946,0.01065069,0.1252009,0.01243045,0.00005514699],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03177878,0.0001030732,0.9627906,0.0003557063,0.00007658135,0.0001870834,0.0000984388,0.0006167906,0.003992907],"genre_scores_gemma":[0.4526052,0.0002376186,0.5427448,0.0002025617,0.00007875446,0.0005045626,0.0002890871,0.0003165433,0.003020856],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004440933,"threshold_uncertainty_score":0.02099007,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03497325248023382,"score_gpt":0.2864382686045963,"score_spread":0.2514650161243625,"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."}}