{"id":"W1505006926","doi":"","title":"Early evaluation of software performance based on the UML performance profile","year":2003,"lang":"en","type":"article","venue":"Conference of the Centre for Advanced Studies on Collaborative Research","topic":"Software System Performance and Reliability","field":"Computer Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; UML tool; Programming language; Applications of UML; Unified Modeling Language; Object Constraint Language; Model transformation; XML; XSLT; Compiler; Software engineering; Software; Operating system; Artificial intelligence","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":[0.01154797,0.00153031,0.0007942231,0.004205376,0.0007099275,0.002699592,0.001024559,0.0006971775,0.002219265],"category_scores_gemma":[0.04718047,0.0005732234,0.0009572451,0.001680056,0.0008259864,0.005038228,0.001331803,0.001491984,0.001158475],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003156385,"about_ca_system_score_gemma":0.002377317,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004737041,"about_ca_topic_score_gemma":0.003063016,"domain_scores_codex":[0.9855187,0.004227186,0.001173862,0.0008156798,0.007717352,0.0005471592],"domain_scores_gemma":[0.9679686,0.01456153,0.002440213,0.004911365,0.009666881,0.0004514556],"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":[0.001913285,0.0004533411,0.04317117,0.001169048,0.0002492278,0.0005938523,0.005254867,0.1286452,0.09110013,0.1331532,0.009123406,0.5851732],"study_design_scores_gemma":[0.00007171564,0.0008082751,0.02313717,0.0007255121,0.0002142028,0.0005897278,0.0009001918,0.6495624,0.2251507,0.03448347,0.06404978,0.0003069236],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07984193,0.0003330065,0.8982244,0.0003070844,0.0001112668,0.0003141004,0.0006151557,0.01032586,0.009927205],"genre_scores_gemma":[0.6844302,0.000442256,0.3064522,0.00007949649,0.00004827904,0.0003660971,0.00242536,0.001577504,0.004178546],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01154797,"threshold_uncertainty_score":0.06107223,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1361836819039513,"score_gpt":0.3846019476840096,"score_spread":0.2484182657800583,"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."}}