{"id":"W1968019759","doi":"10.1109/nwesp.2006.24","title":"Performance of Dynamic Web Page Generation for Database-driven Web Sites","year":2006,"lang":"en","type":"article","venue":"International Conference on Next Generation Web Services Practices","topic":"Caching and Content Delivery","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Computer science; Dynamic web page; Cache; Static web page; Database; Web server; Latency (audio); Application server; Web page; Operating system; Web API; World Wide Web; The Internet","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"simulation_or_modeling","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"bench_or_experimental","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"}],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003983286,0.0002253085,0.0001902319,0.0002608966,0.0002199899,0.0006980111,0.0009772225,0.00008790247,0.00008666064],"category_scores_gemma":[0.00005164195,0.0002203812,0.00008567357,0.0001746123,0.00003132346,0.003175404,0.0001412894,0.0001527945,0.00005262257],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007395682,"about_ca_system_score_gemma":0.0002515275,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001545829,"about_ca_topic_score_gemma":0.001940419,"domain_scores_codex":[0.9980041,0.0001150866,0.0005045757,0.0005783766,0.0005914969,0.0002063406],"domain_scores_gemma":[0.9975798,0.0001593532,0.0009591256,0.0004690871,0.0007819235,0.00005067493],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004389715,0.0001342892,0.0007610709,0.00004464398,0.00003705589,0.000001721557,0.00006576018,0.0003806812,0.9797579,0.01755479,0.0006495474,0.0005686291],"study_design_scores_gemma":[0.000574174,0.0001773332,0.00004018196,0.00006015336,0.00002329212,0.000007995003,0.00005955214,0.9897494,0.008376386,0.00007340998,0.0006262783,0.0002318058],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9920874,0.0001081087,0.0006995285,0.003145867,0.001015905,0.0002912132,0.0001440589,0.0001082642,0.002399619],"genre_scores_gemma":[0.9903693,0.0003489243,0.006330089,0.000565557,0.0005946545,0.00008154594,0.00101176,0.00001501023,0.0006831877],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9893687,"threshold_uncertainty_score":0.8986884,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09917158554320826,"score_gpt":0.3156751144739805,"score_spread":0.2165035289307722,"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."}}