{"id":"W2154595863","doi":"10.1002/smr.285","title":"Migrating to Web services: a performance engineering approach","year":2004,"lang":"en","type":"article","venue":"Journal of Software Maintenance and Evolution Research and Practice","topic":"Software System Performance and Reliability","field":"Computer Science","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"IBM (Canada)","funders":"","keywords":"Scalability; Web service; Software deployment; Computer science; Middleware (distributed applications); Web engineering; World Wide Web; WS-Policy; Web modeling; Latency (audio); Web development; Service-oriented architecture; Web application security; Software engineering; Distributed computing; Telecommunications; Database","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":[0.004961103,0.001564789,0.0007114988,0.002397026,0.00126633,0.005733402,0.003349619,0.001764566,0.00147654],"category_scores_gemma":[0.01226854,0.0008551682,0.0007956291,0.002033531,0.002813608,0.005031693,0.002165857,0.003643789,0.000746762],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00256051,"about_ca_system_score_gemma":0.002165935,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002426546,"about_ca_topic_score_gemma":0.001454782,"domain_scores_codex":[0.9961362,0.001369267,0.0001958078,0.0002811705,0.001761904,0.0002555822],"domain_scores_gemma":[0.9936332,0.002998814,0.0006353501,0.0008503618,0.001605345,0.0002769555],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0000539297,0.0002237763,0.001921024,0.0004276421,0.00007523529,0.0002775552,0.0006578094,0.3304049,0.006753226,0.5244938,0.003327726,0.1313834],"study_design_scores_gemma":[0.00001484988,0.00006632363,0.0003250828,0.0001460043,0.00005128168,0.0001397155,0.0003342544,0.7156668,0.005408829,0.2599828,0.01782771,0.0000364282],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01562711,0.001128745,0.9615003,0.003437503,0.0001239858,0.0001203971,0.00003313982,0.0008166378,0.01721217],"genre_scores_gemma":[0.4655439,0.003708668,0.5223053,0.0004451127,0.000461251,0.0002621382,0.0001171958,0.0006330802,0.006523455],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005733402,"threshold_uncertainty_score":0.02623713,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02336522887348873,"score_gpt":0.2924268147943313,"score_spread":0.2690615859208426,"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."}}