{"id":"W2110238232","doi":"10.1109/isit.2007.4557132","title":"Delay-Throughput Analysis in Decentralized Single-Hop Wireless Networks","year":2007,"lang":"en","type":"article","venue":"","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Upper and lower bounds; Wireless network; Throughput; Hop (telecommunications); Computer science; Transmission (telecommunications); Transmission delay; Network delay; Computer network; Code rate; Topology (electrical circuits); Wireless; Mathematics; Algorithm; Network packet; Telecommunications; Combinatorics; Decoding methods","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":[0.0008327276,0.0001349839,0.0002424345,0.000293276,0.0001189986,0.0001488011,0.0009721818,0.00007147272,0.0001029616],"category_scores_gemma":[0.00002018264,0.0001248969,0.0001073854,0.003697072,0.00003903388,0.0003216593,0.0003579595,0.0001863041,0.00001573397],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001090621,"about_ca_system_score_gemma":0.00002252738,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003971147,"about_ca_topic_score_gemma":0.00543141,"domain_scores_codex":[0.9985371,0.0001375837,0.0003924069,0.0003292956,0.0001754342,0.0004281376],"domain_scores_gemma":[0.9986734,0.0002533701,0.00007516897,0.0007856836,0.0001002376,0.0001120897],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003274321,0.0004096589,0.05454039,0.000003026828,0.000260438,0.00005972122,0.001541812,0.01720814,0.0007407292,0.2232352,0.0008708162,0.7010973],"study_design_scores_gemma":[0.0004823541,0.00002342343,0.02346659,0.00001214931,0.00002310806,0.000003495373,0.00003780058,0.9707028,0.0004086725,0.0001266782,0.00446654,0.0002463463],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05626832,0.0005338827,0.935817,0.0005051439,0.0001192426,0.00009773359,1.001272e-7,0.0001443071,0.006514285],"genre_scores_gemma":[0.9737775,0.0006853337,0.0243601,0.0009231407,0.00002595194,0.000003731042,0.000005230002,0.000005991673,0.0002130503],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9534947,"threshold_uncertainty_score":0.5093148,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0362917167169893,"score_gpt":0.2916152048644915,"score_spread":0.2553234881475022,"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."}}