{"id":"W1980983455","doi":"10.1145/1101149.1101211","title":"rStream","year":2005,"lang":"en","type":"article","venue":"","topic":"Caching and Content Delivery","field":"Computer Science","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Erasure code; Peer-to-peer; Computer network; Linear network coding; Coding (social sciences); Bandwidth (computing); Multimedia; Redundancy (engineering); Distributed computing; Decoding methods; Telecommunications; Network packet","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":[0.00003575199,0.0000247763,0.0000237335,0.00001706933,0.00002444419,0.00004315103,0.0002238444,0.00000835223,0.00003082172],"category_scores_gemma":[0.00000271151,0.00001973621,0.000019927,0.0000448116,0.00000350283,0.0001753279,0.00005009273,0.00002414362,0.0004891525],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007001358,"about_ca_system_score_gemma":0.00000631475,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002330034,"about_ca_topic_score_gemma":0.000009755498,"domain_scores_codex":[0.9997528,0.00000470648,0.0000364211,0.00008242051,0.00005607859,0.00006758999],"domain_scores_gemma":[0.9997779,0.000009491998,0.000005654593,0.0001731512,0.000009013197,0.00002481247],"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":[6.664008e-7,0.00003938876,0.0004659106,5.947256e-7,0.00000441852,0.00000395234,0.0001025582,0.0001003879,0.001371681,0.2598038,0.02495079,0.7131559],"study_design_scores_gemma":[0.0005051007,0.00007324306,0.00302441,0.00000838931,0.000003231925,0.00005608288,0.00002883976,0.6328105,0.006946489,0.002582806,0.3536118,0.0003490909],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07890704,0.0001085011,0.6684296,0.007617109,0.0001945225,0.00002921229,1.505187e-7,0.0005182432,0.2441956],"genre_scores_gemma":[0.98089,0.000002535767,0.009432205,0.001216157,0.00005731992,7.193415e-7,1.018997e-7,8.936254e-7,0.008400107],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9019829,"threshold_uncertainty_score":0.6287229,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008637481674670797,"score_gpt":0.1986416849481724,"score_spread":0.1900042032735016,"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."}}