{"id":"W1996538682","doi":"10.1109/wowmom.2012.6263709","title":"Performance modeling of multicast with network coding in multi-channel multi-radio wireless mesh networks","year":2012,"lang":"en","type":"article","venue":"","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Computer network; Multicast; Computer science; Wireless mesh network; Linear network coding; Source-specific multicast; Throughput; Distributed computing; Network packet; Xcast; Wireless network; 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":[0.001450628,0.0006499119,0.0005243981,0.0006924506,0.0003936551,0.0007043402,0.001075364,0.001068454,0.0007464319],"category_scores_gemma":[0.005108555,0.0002945614,0.0004441576,0.0006291703,0.0007940438,0.001294237,0.0007022819,0.000565343,0.0001929039],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001783634,"about_ca_system_score_gemma":0.000578273,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00579733,"about_ca_topic_score_gemma":0.002498048,"domain_scores_codex":[0.999401,0.000268293,0.00001458961,0.00005323772,0.0001626243,0.0001003318],"domain_scores_gemma":[0.9978204,0.001438196,0.000260466,0.00008912777,0.0003475467,0.00004428391],"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":[0.00001606552,0.000008644899,0.0002530921,0.0000135297,0.000005394353,0.00002559075,0.000031952,0.9884917,0.0005169158,0.009072859,0.0001216295,0.001442704],"study_design_scores_gemma":[5.664818e-7,0.000004146938,0.00003707967,0.000001245797,9.888355e-7,0.00000433186,0.000002717762,0.9988225,0.0000528475,0.001039584,0.00003244588,0.000001487626],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1974054,0.001207318,0.7859119,0.0006534102,0.00006201322,0.00007317132,0.0001511149,0.0002182439,0.01431734],"genre_scores_gemma":[0.9880291,0.000375418,0.009780689,0.00003843642,0.00002617746,0.00005463036,0.00003869088,0.00002596622,0.001630965],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00579733,"threshold_uncertainty_score":0.01294124,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07789237613606333,"score_gpt":0.2816889860212038,"score_spread":0.2037966098851405,"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."}}