{"id":"W3106623147","doi":"10.1109/ccece47787.2020.9255719","title":"Honeybee Algorithm for Content Delivery Networks","year":2020,"lang":"en","type":"article","venue":"","topic":"Caching and Content Delivery","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"British Columbia Institute of Technology","funders":"","keywords":"Computer science; Content delivery; Content (measure theory); Algorithm design; Algorithm; Computer network; 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":[0.00009797655,0.0001050558,0.0001385588,0.00002164199,0.00009204142,0.0001331214,0.0005348994,0.00004222541,0.000009725813],"category_scores_gemma":[0.00001815232,0.00009076338,0.0001298363,0.0001279391,0.00001449533,0.0002429725,0.0001714626,0.00008893483,0.00004007689],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001460874,"about_ca_system_score_gemma":0.00002386498,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005525092,"about_ca_topic_score_gemma":0.00000274276,"domain_scores_codex":[0.9991397,0.00002005034,0.0001551377,0.0003212134,0.0001277127,0.0002361886],"domain_scores_gemma":[0.9994099,0.00009015531,0.00003656083,0.0002131224,0.00009469413,0.0001555395],"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":[0.00001461354,0.00003979496,0.00008815621,0.000006436142,0.00005049075,0.00001812443,0.0001855516,0.000782384,0.0009130345,0.01528848,0.03721764,0.9453953],"study_design_scores_gemma":[0.0004507808,0.0001295527,0.00007059133,0.000004803089,0.000005865979,0.000004060722,0.00004018408,0.992772,0.0002176583,0.00009127257,0.006072528,0.0001407351],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001433005,0.0003082654,0.9929984,0.003740176,0.0004098467,0.0001792706,0.000003222088,0.0003302382,0.0005975867],"genre_scores_gemma":[0.8069265,0.00007003864,0.1614597,0.02915258,0.0007147366,0.00005439982,0.00001067545,0.0000200686,0.001591265],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9919896,"threshold_uncertainty_score":0.3701223,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05742420360498541,"score_gpt":0.2170272424231066,"score_spread":0.1596030388181212,"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."}}