{"id":"W4313643684","doi":"10.1109/icjece.2022.3210237","title":"On the Packet Decoding Delay of Linear Network Coded Wireless Broadcast Sur le délai de décodage des paquets de la diffusion sans fil codée par réseau linéaire","year":2023,"lang":"fr","type":"article","venue":"Canadian Journal of Electrical and Computer Engineering","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Network packet; Decoding methods; Throughput; Computer science; Algorithm; Linear network coding; Unicast; Mathematics; Computer network; Wireless; Telecommunications","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013208,0.0002353204,0.0003654106,0.0002418452,0.0005498225,0.0002480959,0.0007334512,0.0001504061,0.00001065768],"category_scores_gemma":[0.0002385599,0.000204904,0.0001444468,0.001216199,0.0001626827,0.0001861392,0.0001326287,0.0008360377,0.000002052035],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002429557,"about_ca_system_score_gemma":0.001062855,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004560196,"about_ca_topic_score_gemma":0.0009626155,"domain_scores_codex":[0.9979223,0.0004916569,0.0004849107,0.000194272,0.0001683143,0.0007385478],"domain_scores_gemma":[0.9966128,0.002102331,0.0001653013,0.0002621419,0.0002176551,0.0006396965],"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":[0.00003140768,0.00008227392,0.004391532,0.0001044392,0.0001996925,0.0006369391,0.004832759,0.5160539,0.001263051,0.08803556,0.01602893,0.3683395],"study_design_scores_gemma":[0.0003915993,0.0002250222,0.009630116,0.0008294164,0.0000196668,0.000310377,0.00001235943,0.9785302,0.0003390099,0.0007314311,0.008769665,0.0002111593],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4448216,0.006014691,0.5458218,0.002808319,0.0003503863,0.0000892629,0.000004293827,0.0000276898,0.00006196099],"genre_scores_gemma":[0.9877858,0.004148135,0.007036855,0.000417161,0.0005155583,0.000002978797,0.000001837057,0.00002610254,0.00006561176],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5429642,"threshold_uncertainty_score":0.8355745,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02572360823523103,"score_gpt":0.2307789719864792,"score_spread":0.2050553637512481,"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."}}