{"id":"W2098893753","doi":"10.1109/mascots.2010.42","title":"Content Delivery Using Replicated Digital Fountains","year":2010,"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 Saskatchewan; University of Calgary","funders":"","keywords":"Computer science; Server; Content delivery network; Content delivery; The Internet; Computer network; Architecture; Context (archaeology); Internet traffic; Bandwidth (computing); Download; Operating system","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":[0.0005552042,0.0003199012,0.0005045115,0.0007068723,0.0007123554,0.001091589,0.001061116,0.0006344235,0.001397688],"category_scores_gemma":[0.002543786,0.0002101899,0.0002948284,0.0007140737,0.000603119,0.001394017,0.0008226865,0.000335722,0.000215757],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002175453,"about_ca_system_score_gemma":0.0005835448,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0100534,"about_ca_topic_score_gemma":0.006279937,"domain_scores_codex":[0.9995956,0.000114859,0.0000188667,0.00008277474,0.00009986254,0.00008808629],"domain_scores_gemma":[0.9988611,0.0003936588,0.0001437999,0.0003122124,0.0002046939,0.00008454785],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008536085,0.0003438257,0.004630633,0.000220805,0.0001388086,0.0009154255,0.0004418227,0.7413682,0.05700921,0.04819007,0.00410539,0.1417822],"study_design_scores_gemma":[0.00002810107,0.00007280117,0.0005645215,0.000007139637,0.00001978076,0.0001224412,0.00006233574,0.9855545,0.006899329,0.005380954,0.001273452,0.00001471262],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.7367795,0.0009443266,0.2496722,0.0004051129,0.00008609142,0.00008768257,0.0001097597,0.001568608,0.01034683],"genre_scores_gemma":[0.9840306,0.000101107,0.01437414,0.00002263794,0.000009727566,0.00001186304,0.00002277193,0.00002506201,0.001402095],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.0100534,"threshold_uncertainty_score":0.01998973,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05275244513873596,"score_gpt":0.2386144703268863,"score_spread":0.1858620251881504,"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."}}