{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005761819,0.0002252765,0.0003143419,0.00007563827,0.0003081314,0.00007171353,0.001525181,0.0001434664,0.00008643227],"category_scores_gemma":[0.000004201676,0.0001861064,0.00006257613,0.0007842812,0.00008728444,0.0002170193,0.0004566661,0.0003231708,0.00003393821],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003377529,"about_ca_system_score_gemma":0.0001303413,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006587285,"about_ca_topic_score_gemma":0.00005088369,"domain_scores_codex":[0.9975783,0.0001182208,0.0005251718,0.0007420225,0.0003604273,0.0006758429],"domain_scores_gemma":[0.9978921,0.0001864997,0.00008350366,0.001523181,0.0000416866,0.000273027],"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":[0.00004553473,0.0003549702,0.002008124,0.000007043211,0.00001783085,0.0005160177,0.0004838773,0.8586296,0.00000611139,0.01356278,0.02733481,0.09703328],"study_design_scores_gemma":[0.0005408002,0.00003519311,0.002066943,0.00004896301,0.000006146795,0.0001094446,0.00001205907,0.9930091,8.049412e-7,0.0002428474,0.003668173,0.0002595134],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006659741,0.0004633508,0.984576,0.0006887068,0.0006978939,0.0002636854,0.000004799927,0.0002331606,0.006412615],"genre_scores_gemma":[0.9665858,0.0001766215,0.0316649,0.0006896679,0.0002769702,0.00001088003,0.00006948381,0.0000140597,0.0005116152],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9599261,"threshold_uncertainty_score":0.7589199,"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."}}