{"id":"W3044418975","doi":"10.1051/epjconf/202024507026","title":"Web Proxy Auto Discovery for Dynamically Created Web Proxies","year":2020,"lang":"en","type":"article","venue":"EPJ Web of Conferences","topic":"Caching and Content Delivery","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fermilab; Office of Science; University of Victoria; U.S. Department of Energy","keywords":"Computer science; Cache; Proxy (statistics); Operating system; World Wide Web; Database","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001920973,0.0001958545,0.0003552908,0.00008046381,0.00009406878,0.0003171754,0.001018637,0.00007604643,0.00002202347],"category_scores_gemma":[0.0001867959,0.0001579232,0.0001574855,0.0002498027,0.000123348,0.0005993488,0.0002074772,0.0001344435,0.00001463558],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001439932,"about_ca_system_score_gemma":0.001508035,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005559903,"about_ca_topic_score_gemma":0.00004845572,"domain_scores_codex":[0.9984983,0.00006601048,0.0003661798,0.0004605004,0.0003263562,0.0002826692],"domain_scores_gemma":[0.9990031,0.0001919204,0.0001747224,0.0003044743,0.0002089671,0.0001168713],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004730693,0.0004724591,0.03838151,0.0005350767,0.0004089609,0.00003138795,0.001980241,0.0001640742,0.2167854,0.7052027,0.009660797,0.02590439],"study_design_scores_gemma":[0.001067496,0.0007802178,0.001808152,0.0001512739,0.0000354432,0.000003915684,0.0002133572,0.9768161,0.003624659,0.002948544,0.01215112,0.0003997115],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8581895,0.0004163528,0.1051289,0.01786684,0.000690336,0.001092922,0.0001415775,0.0006777166,0.01579593],"genre_scores_gemma":[0.9968006,0.00004072079,0.001962762,0.0003680743,0.0000867346,0.00005452689,0.00001317357,0.000009141647,0.0006642648],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.976652,"threshold_uncertainty_score":0.6439922,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02580766771574834,"score_gpt":0.2419968716353361,"score_spread":0.2161892039195877,"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."}}