{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001923921,0.000601303,0.0004298941,0.0009011178,0.000450773,0.001038274,0.0006888696,0.0005342736,0.001683871],"category_scores_gemma":[0.009516569,0.0002473472,0.0002933611,0.0007916043,0.001866259,0.001630532,0.0008993521,0.001138835,0.0001509836],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002970267,"about_ca_system_score_gemma":0.00152519,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004084825,"about_ca_topic_score_gemma":0.001467523,"domain_scores_codex":[0.999114,0.0002657953,0.00002622261,0.00008865885,0.000338408,0.0001669289],"domain_scores_gemma":[0.9948992,0.003813491,0.000309821,0.000211384,0.0006741933,0.00009190928],"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":[0.00002196132,0.00001310241,0.0002192824,0.00002871952,0.00000690419,0.00004705805,0.00006408872,0.6715379,0.001836049,0.3216374,0.0004183576,0.004169245],"study_design_scores_gemma":[0.00000278877,0.000007603005,0.00005485541,0.000005144234,0.000002003336,0.0000125309,0.00001356934,0.9438702,0.0004504445,0.05515476,0.0004217254,0.000004322479],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06376315,0.0005111183,0.9241238,0.0004601653,0.00006135383,0.00004668385,0.00005466757,0.00008975519,0.01088936],"genre_scores_gemma":[0.9605212,0.0007376755,0.03494813,0.0001077032,0.00007557975,0.0000977478,0.00005199725,0.0000456967,0.003414276],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004084825,"threshold_uncertainty_score":0.02155089,"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."}}