{"id":"W2862647314","doi":"10.1109/infcomw.2018.8406921","title":"When more may not be better: Toward cost-efficient CDN selection","year":2018,"lang":"en","type":"article","venue":"","topic":"Caching and Content Delivery","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Selection (genetic algorithm); Computer science; Content delivery; Footprint; Content delivery network; TRACE (psycholinguistics); Point (geometry); Computer network; Server; Artificial intelligence; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004313666,0.0006806789,0.0008573311,0.001455999,0.00147738,0.00284054,0.00133076,0.001255018,0.001761931],"category_scores_gemma":[0.01810525,0.0004272918,0.0002025602,0.00167059,0.000837973,0.003796973,0.001445084,0.00105123,0.000545812],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001542298,"about_ca_system_score_gemma":0.002156178,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003857946,"about_ca_topic_score_gemma":0.007463889,"domain_scores_codex":[0.9966328,0.001432273,0.0001245886,0.0005009491,0.000961184,0.0003482872],"domain_scores_gemma":[0.9907127,0.004881011,0.0009186598,0.0009876183,0.001976784,0.000523178],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001045474,0.0007967271,0.03985493,0.0003688924,0.0001439334,0.001097255,0.00136787,0.1744437,0.04569717,0.06312501,0.01794326,0.6541158],"study_design_scores_gemma":[0.0001355269,0.0003080841,0.005283173,0.00008820908,0.00009245282,0.0008701322,0.001962047,0.8940478,0.02124383,0.05837031,0.0175021,0.00009628041],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3450943,0.001605334,0.6284039,0.005316908,0.000158204,0.0005876021,0.0003130033,0.000985435,0.01753533],"genre_scores_gemma":[0.7567219,0.0003097249,0.2400971,0.0004005143,0.00007187506,0.00008812205,0.0001382754,0.0001153327,0.002057232],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004313666,"threshold_uncertainty_score":0.02281308,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04162299056316796,"score_gpt":0.2676015213544068,"score_spread":0.2259785307912388,"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."}}