{"id":"W822064649","doi":"","title":"Associating Performance Measures with Perceived End User Performance: ISO 25023 compliant Low Level Derived Measures","year":2015,"lang":"en","type":"article","venue":"Espace ÉTS (ETS)","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure; Université du Québec","funders":"","keywords":"Cloud computing; Computer science; Server; Service-level agreement; Service level; Perspective (graphical); Measure (data warehouse); Scale (ratio); Performance measurement; End user; Database; Operating system; Mathematics; Business; Statistics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001545842,0.0004865532,0.0004908662,0.0002155807,0.0006783892,0.0004952239,0.001476432,0.0001326775,0.00001165383],"category_scores_gemma":[0.0001526294,0.0003858331,0.0001159074,0.0006575751,0.0001446168,0.0002150515,0.0006751046,0.0004907369,0.0002240851],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003339418,"about_ca_system_score_gemma":0.0002329234,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001220275,"about_ca_topic_score_gemma":0.0001252873,"domain_scores_codex":[0.9959,0.0002383059,0.0004104866,0.0008367896,0.001649464,0.0009649374],"domain_scores_gemma":[0.9977151,0.000127718,0.0003299905,0.0009865691,0.0004664193,0.0003742333],"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":[0.0004196686,0.0008490158,0.1628049,0.0004685264,0.0008606999,0.000184773,0.06376608,0.3400042,0.004362723,0.0009283249,0.01876277,0.4065883],"study_design_scores_gemma":[0.003277037,0.0007334149,0.4009653,0.0007361151,0.00007248118,0.00008467329,0.002292319,0.5671688,0.0026171,0.00003223916,0.02058741,0.001433034],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9604971,0.0001557158,0.03203828,0.001594197,0.0005123926,0.0003727795,0.0000030236,0.0004959797,0.004330564],"genre_scores_gemma":[0.9837423,0.00001928755,0.01193667,0.0004495906,0.0002566293,0.00002765187,0.0000035589,0.00004860316,0.003515736],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4051553,"threshold_uncertainty_score":0.9998593,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04334917171501931,"score_gpt":0.2398366807887734,"score_spread":0.1964875090737541,"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."}}