{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001103649,0.0001028553,0.0001014672,0.00006578334,0.0001150504,0.0004242842,0.0005618873,0.00005003586,0.00001778916],"category_scores_gemma":[0.00004053884,0.00008675016,0.00008279667,0.0001522923,0.00003569821,0.0007444664,0.0002457061,0.0001838649,0.000099843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000215004,"about_ca_system_score_gemma":0.00004573416,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003542151,"about_ca_topic_score_gemma":0.00003186249,"domain_scores_codex":[0.9991113,0.000009577739,0.0001628512,0.0003273308,0.0001708948,0.0002180755],"domain_scores_gemma":[0.999061,0.00004345026,0.000045558,0.0006379398,0.000113616,0.00009838386],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002221056,0.0002393236,0.01707603,0.000006958282,0.00006878918,0.00009665237,0.000217729,0.00005874568,0.7447298,0.1402318,0.001631854,0.09562019],"study_design_scores_gemma":[0.00122418,0.0001551714,0.008148904,0.00002829528,0.00002005638,0.0005165451,0.0001774021,0.9614535,0.01326349,0.002129949,0.01193274,0.0009497889],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8302639,0.00001336558,0.1632653,0.000295216,0.0004669427,0.00006864637,0.000001912927,0.0003246198,0.005300105],"genre_scores_gemma":[0.9945615,0.000001368426,0.003720268,0.0005725777,0.00006306418,0.000002284179,0.000002223592,0.00000653739,0.001070158],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9613947,"threshold_uncertainty_score":0.4091382,"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."}}