{"id":"W1569046518","doi":"10.1002/wcm.2193","title":"Delay analysis in practical wireless network coding","year":2012,"lang":"en","type":"article","venue":"Wireless Communications and Mobile Computing","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Linear network coding; Exploit; Wireless network; Computer network; Queueing theory; Coding (social sciences); Network calculus; Scheduling (production processes); Maximum throughput scheduling; Wireless; Wireless WAN; Distributed computing; Dynamic priority scheduling; Round-robin scheduling; Wi-Fi array; Telecommunications; Mathematical optimization; Quality of service; Network packet; Computer security","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":[0.00163993,0.0002013676,0.0003845558,0.0002661333,0.0008195501,0.000235627,0.001463467,0.00008986207,0.000009012415],"category_scores_gemma":[0.00003432783,0.0002089189,0.00009536105,0.002366892,0.0001512988,0.000655483,0.002796103,0.0005231496,0.000009514936],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000835609,"about_ca_system_score_gemma":0.0000550606,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002807116,"about_ca_topic_score_gemma":0.0001503019,"domain_scores_codex":[0.9976933,0.0007038439,0.0005451179,0.0003176761,0.00017342,0.0005666478],"domain_scores_gemma":[0.9961395,0.001162284,0.0002173779,0.002165478,0.0001281727,0.0001871839],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000004844697,0.0004513524,0.1241783,0.00001582807,0.0002077274,0.000002935469,0.006101675,0.003198753,0.000243224,0.4695915,0.0002076768,0.3957961],"study_design_scores_gemma":[0.0002520088,0.00002283848,0.01922795,0.00007025043,0.0000492816,0.00002129205,0.0002350483,0.9708523,0.00002262235,0.00009130401,0.008859896,0.0002951935],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2754042,0.006891469,0.7138979,0.001072055,0.0001596923,0.0003574052,0.000001098898,0.0002068649,0.002009266],"genre_scores_gemma":[0.9363635,0.004802452,0.05838988,0.000261175,0.00007533812,0.00005783702,0.00001610622,0.00001284448,0.00002082972],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9676536,"threshold_uncertainty_score":0.8519466,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04816341173170328,"score_gpt":0.3345301321007554,"score_spread":0.2863667203690521,"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."}}