{"id":"W2103550819","doi":"10.1109/jsac.2009.090605","title":"Optimized multipath network coding in lossy wireless networks","year":2009,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":76,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Computer network; Unicast; Linear network coding; Retransmission; Network packet; Multicast; Distributed computing; Wireless network; Network congestion; Multiple description coding; Testbed; Wireless; Telecommunications","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":[0.0008785428,0.0003594266,0.0003975336,0.0004669807,0.0003353089,0.0005230742,0.0005918392,0.0003688227,0.0003929547],"category_scores_gemma":[0.002945366,0.0002277176,0.0001668568,0.0007906706,0.0009730175,0.001121573,0.0007378327,0.0005594317,0.00008041754],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00104194,"about_ca_system_score_gemma":0.0007800277,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002276101,"about_ca_topic_score_gemma":0.002292391,"domain_scores_codex":[0.9996006,0.0001281814,0.00001203214,0.00004379855,0.000155143,0.00006027468],"domain_scores_gemma":[0.9986481,0.0008124748,0.0001899037,0.0001434726,0.0001708545,0.00003524275],"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":[0.00006383206,0.00001194089,0.0003150002,0.00003484029,0.00001291514,0.0000598527,0.00006688433,0.914627,0.005935312,0.04827334,0.0004736809,0.03012537],"study_design_scores_gemma":[0.000008388365,0.0000371107,0.0001176189,0.000006985999,0.000008293595,0.00004482676,0.00001559801,0.9698256,0.002655076,0.02621048,0.001060191,0.00000984195],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06537004,0.0009594949,0.930948,0.0002306257,0.00002933618,0.00002644743,0.00003817823,0.0002430456,0.0021548],"genre_scores_gemma":[0.8938679,0.001006418,0.103175,0.00006426682,0.00004883187,0.00009287762,0.00005284871,0.00004219579,0.001649637],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002276101,"threshold_uncertainty_score":0.007559776,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04461161403530175,"score_gpt":0.3111233799775617,"score_spread":0.2665117659422599,"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."}}