{"id":"W3189232707","doi":"10.1109/tnet.2021.3094839","title":"Graph-Based Namespaces and Load Sharing for Efficient Information Dissemination","year":2021,"lang":"en","type":"article","venue":"IEEE/ACM Transactions on Networking","topic":"Caching and Content Delivery","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Standards and Technology; National Science Foundation","keywords":"Computer science; Scalability; Namespace; Distributed computing; Graph; Dissemination; Load balancing (electrical power); Computer network; Workload; Theoretical computer science; Operating system; Grid","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001131224,0.0004711676,0.0005391393,0.001269364,0.001014962,0.002041724,0.001920167,0.0008246911,0.002377539],"category_scores_gemma":[0.00336502,0.0003267472,0.0005725744,0.00155318,0.001037974,0.004129651,0.002416484,0.0009264797,0.001069103],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009510661,"about_ca_system_score_gemma":0.001222161,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001725897,"about_ca_topic_score_gemma":0.002639296,"domain_scores_codex":[0.9989448,0.0003022573,0.00009194428,0.0001830523,0.0003754288,0.0001025313],"domain_scores_gemma":[0.9976512,0.0005487541,0.0002547304,0.001025596,0.0003558831,0.0001639139],"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":[0.0003683888,0.0002996531,0.00183031,0.0003855685,0.00009850942,0.0002932549,0.001241755,0.1820833,0.08088462,0.3375917,0.01371936,0.3812036],"study_design_scores_gemma":[0.00007759191,0.0002311902,0.0009262112,0.00003334832,0.00006178077,0.000314039,0.0002860862,0.7744792,0.04621182,0.09968436,0.07759471,0.00009973284],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01693532,0.000174945,0.9743532,0.0002933446,0.00006028964,0.0001823591,0.0001044172,0.003153988,0.004742071],"genre_scores_gemma":[0.3916748,0.0004602255,0.5978157,0.0001968971,0.00008963412,0.0004183358,0.0005636586,0.0005224025,0.0082584],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002377539,"threshold_uncertainty_score":0.007953644,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01649825172211187,"score_gpt":0.245204148871408,"score_spread":0.2287058971492962,"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."}}