{"id":"W2040040060","doi":"10.1016/j.procs.2014.08.036","title":"Classification of Post-deployment Performance Diagnostic Techniques for Large-scale Software Systems","year":2014,"lang":"en","type":"article","venue":"Procedia Computer Science","topic":"Software System Performance and Reliability","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Acadia University; University of Waterloo","funders":"","keywords":"Computer science; Software deployment; Task (project management); Scale (ratio); Field (mathematics); Software; Service (business); Data science; Risk analysis (engineering); Software engineering; Systems engineering; Operating system","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":[0.00464481,0.001338687,0.0006981638,0.006813615,0.0007154929,0.002066965,0.002544766,0.001070295,0.0008341597],"category_scores_gemma":[0.0374222,0.0004731324,0.001035499,0.004739407,0.0008372372,0.002703558,0.001140778,0.00155913,0.0006447358],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001478115,"about_ca_system_score_gemma":0.002002244,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002127034,"about_ca_topic_score_gemma":0.001811682,"domain_scores_codex":[0.9919181,0.001169433,0.0008203734,0.0009419806,0.004628488,0.0005215889],"domain_scores_gemma":[0.9506494,0.02298867,0.008588085,0.004722929,0.01230802,0.0007428693],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002655057,0.0003541006,0.02603034,0.002037054,0.0001019924,0.0002421763,0.001160808,0.008222271,0.01538409,0.00611846,0.006160863,0.9339224],"study_design_scores_gemma":[0.0001715223,0.002578667,0.1602254,0.004586513,0.0008659579,0.007390159,0.004926791,0.5113291,0.1332379,0.03533076,0.1386681,0.0006891417],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1556284,0.02937484,0.7831341,0.003645798,0.0005582027,0.001155768,0.000821518,0.008595923,0.01708545],"genre_scores_gemma":[0.5780287,0.009969053,0.4059659,0.0003888211,0.0002952601,0.0004165431,0.001215121,0.0004164283,0.00330411],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006813615,"threshold_uncertainty_score":0.02456439,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01095018948853029,"score_gpt":0.2416727533476307,"score_spread":0.2307225638591004,"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."}}