{"id":"W2108635022","doi":"10.1002/wcm.1180","title":"Weighted partial network coding and its applications in wireless mesh networks","year":2011,"lang":"en","type":"article","venue":"Wireless Communications and Mobile Computing","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Linear network coding; Computer network; Network packet; Decoding methods; Quality of service; Wireless mesh network; Multiple description coding; Coding (social sciences); Multipath propagation; Jitter; Wireless; Wireless network; Algorithm; 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":[0.0008284671,0.0003039435,0.0002932521,0.0005652313,0.0002584407,0.000444335,0.0004743831,0.000325591,0.0006791616],"category_scores_gemma":[0.003411808,0.0001214155,0.0002383192,0.0008940115,0.0006981096,0.0007755417,0.0007379157,0.0003949377,0.00008097235],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006548064,"about_ca_system_score_gemma":0.0004603438,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001958675,"about_ca_topic_score_gemma":0.001532411,"domain_scores_codex":[0.9995529,0.0001918317,0.00001732852,0.00003193599,0.0001749448,0.00003105578],"domain_scores_gemma":[0.9983511,0.0009580143,0.0001165599,0.000201143,0.0003397202,0.00003360572],"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":[0.00007721493,0.00001573032,0.0005293562,0.00009077289,0.00002164946,0.0001018936,0.00008758498,0.6388329,0.009364895,0.2513562,0.0009857888,0.09853586],"study_design_scores_gemma":[0.000003683255,0.00002833531,0.00008692239,0.000006142451,0.000004546635,0.00003754861,0.00001095988,0.9592811,0.001191714,0.03828573,0.001058154,0.000005204914],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04054595,0.0006153405,0.9539116,0.0003082049,0.0000497473,0.00003377705,0.00003567768,0.0001236808,0.00437604],"genre_scores_gemma":[0.8503981,0.00101199,0.1463674,0.00008740885,0.00006464738,0.0001084882,0.00007274644,0.00002844469,0.001860676],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001958675,"threshold_uncertainty_score":0.004750967,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04249036169607289,"score_gpt":0.2780612519177728,"score_spread":0.2355708902216999,"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."}}