{"id":"W2169926009","doi":"10.1109/infocom.2008.210","title":"Efficient Network Coded Data Transmissions in Disruption Tolerant Networks","year":2008,"lang":"en","type":"article","venue":"","topic":"Opportunistic and Delay-Tolerant Networks","field":"Computer Science","cited_by":89,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Computer network; Linear network coding; Routing protocol; Erasure code; Network packet; Delay-tolerant networking; Data transmission; Distributed computing; Zone Routing Protocol; Wireless Routing Protocol; Decoding methods; Algorithm","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":[0.001467884,0.0003701667,0.0003698952,0.0006546511,0.0005380887,0.0006218579,0.0008900083,0.0005898707,0.0005073615],"category_scores_gemma":[0.006267217,0.0002354274,0.0001824835,0.0009885724,0.001276029,0.001326354,0.001016991,0.0005513745,0.0001414147],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001034614,"about_ca_system_score_gemma":0.0009938424,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001736032,"about_ca_topic_score_gemma":0.001634524,"domain_scores_codex":[0.9991878,0.0002927927,0.00003682465,0.00007002634,0.0003334067,0.00007923485],"domain_scores_gemma":[0.99712,0.001889979,0.0003329986,0.0003304179,0.0002669251,0.00005972181],"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":[0.0002061344,0.0000663145,0.0006710627,0.0001862408,0.00002217991,0.0002550939,0.0003344134,0.7466764,0.027153,0.1638567,0.001326182,0.05924634],"study_design_scores_gemma":[0.00002744868,0.00007774497,0.0001613042,0.0000240592,0.00001191528,0.0001885138,0.00005612871,0.9376011,0.008689509,0.05000683,0.00313079,0.00002464211],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04763749,0.0004719578,0.9478627,0.0002616124,0.00004539254,0.00008152219,0.00005617314,0.0002388853,0.003344238],"genre_scores_gemma":[0.7920671,0.0006582143,0.204901,0.0001060531,0.00003433752,0.0002007121,0.00007753866,0.0000453158,0.001909677],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001736032,"threshold_uncertainty_score":0.007763028,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0584623847499717,"score_gpt":0.2684341533044095,"score_spread":0.2099717685544378,"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."}}