{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000796383,0.001011629,0.001156669,0.001472752,0.001000027,0.003955447,0.00269972,0.001990835,0.3473039],"category_scores_gemma":[0.003476638,0.0006383598,0.001045148,0.00134255,0.0004545752,0.003195178,0.003849203,0.001647838,0.352623],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006681207,"about_ca_system_score_gemma":0.001301705,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001674459,"about_ca_topic_score_gemma":0.001781665,"domain_scores_codex":[0.9991989,0.00008582063,0.00006276615,0.0001443635,0.0003813324,0.0001268988],"domain_scores_gemma":[0.9986797,0.0001723777,0.00005490252,0.0005546971,0.0003795337,0.000158735],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006381663,0.0001021191,0.0005498945,0.0006803949,0.00005040121,0.0003193113,0.0002080989,0.0009368872,0.01190274,0.02139057,0.6768559,0.2863655],"study_design_scores_gemma":[0.00009553016,0.00004860635,0.0004257504,0.00005776844,0.00001722074,0.0002932683,0.00004017919,0.003360216,0.006636833,0.006203989,0.9827805,0.00004012352],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"software","genre_scores_codex":[0.005287774,0.002416032,0.1904223,0.002387951,0.002777448,0.001229057,0.05437526,0.2880379,0.4530663],"genre_scores_gemma":[0.04974311,0.002491927,0.09067614,0.002405266,0.0007813335,0.001086333,0.1091117,0.03427307,0.709431],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.3473039,"threshold_uncertainty_score":0,"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."}}