{"id":"W1492373979","doi":"","title":"Investigating the distributional property of the session workload","year":2010,"lang":"en","type":"article","venue":"Journal of Web Engineering","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Workload; Session (web analytics); Computer science; Server; Web server; Distribution (mathematics); Web application; Database; World Wide Web; The Internet; Operating system; Mathematics","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":[],"consensus_categories":[],"category_scores_codex":[0.0003084055,0.00006397329,0.0001131829,0.00002435646,0.00006428075,0.00002010473,0.0002568708,0.0000166199,0.00004948462],"category_scores_gemma":[0.00004052062,0.00002698093,0.0001429144,0.0001825648,0.00003295914,0.00006327179,0.00006598372,0.0004481497,3.394745e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009863656,"about_ca_system_score_gemma":0.00005642737,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000755445,"about_ca_topic_score_gemma":0.000001025715,"domain_scores_codex":[0.9994268,0.00001645573,0.0002588186,0.00003881679,0.0001734207,0.00008569748],"domain_scores_gemma":[0.9994372,0.00006422387,0.0002386554,0.0001341579,0.00009492377,0.00003080397],"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":[0.000004441146,0.00007757404,0.2187152,0.00001937553,0.0002094848,6.385943e-7,0.0001720645,0.02611767,0.7196555,0.01184582,0.003954038,0.0192282],"study_design_scores_gemma":[0.001138255,0.0001043131,0.2447255,0.002036736,0.0004069845,0.00007307281,0.0003692971,0.4147366,0.256203,0.008771433,0.07075568,0.0006790357],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9846888,0.00004544004,0.01419825,0.0005002283,0.0002028063,0.00004912046,0.000003040884,0.000008371627,0.0003039146],"genre_scores_gemma":[0.9972141,0.000001218065,0.002255757,0.000006803063,0.0004887607,0.000001484374,4.968913e-7,0.00000564649,0.00002577812],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4634524,"threshold_uncertainty_score":0.1947012,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00640363630781026,"score_gpt":0.2170484370553442,"score_spread":0.2106448007475339,"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."}}