{"id":"W2140124754","doi":"10.1109/glocom.2005.1578320","title":"Performance analysis of the node cooperative ARQ scheme for wireless ad-hoc networks","year":2005,"lang":"en","type":"article","venue":"GLOBECOM '05. IEEE Global Telecommunications Conference, 2005.","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Wireless ad hoc network; Computer science; Computer network; Node (physics); Scheme (mathematics); Selective Repeat ARQ; Automatic repeat request; Ad hoc wireless distribution service; Mobile ad hoc network; Wireless network; Wireless; Optimized Link State Routing Protocol; Hybrid automatic repeat request; Telecommunications; Telecommunications link; Network packet; Engineering; Mathematics","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":[0.00215029,0.0008493925,0.0005899975,0.0007772656,0.0005422428,0.0008341022,0.0007211537,0.0006205282,0.001648167],"category_scores_gemma":[0.006392632,0.0002960599,0.0004278394,0.0006934217,0.0009087385,0.0009524154,0.000591789,0.000603922,0.0003385828],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002193205,"about_ca_system_score_gemma":0.001009164,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00531088,"about_ca_topic_score_gemma":0.002775251,"domain_scores_codex":[0.9988744,0.000393008,0.00002188553,0.00008308914,0.0004453882,0.000182263],"domain_scores_gemma":[0.9971538,0.001882314,0.000180524,0.0001372503,0.0005964173,0.00004975686],"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":[0.00010288,0.00003829864,0.0006816736,0.00007485106,0.00003426327,0.0001145116,0.0001695051,0.9413128,0.007558227,0.03522423,0.0007861396,0.01390266],"study_design_scores_gemma":[0.000002943591,0.00005055124,0.0001631789,0.000003906019,0.00000646031,0.00002426824,0.00001853794,0.997373,0.0004344096,0.001774605,0.0001427207,0.000005427245],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3178269,0.003838237,0.6571105,0.0007940283,0.0001325199,0.0001489954,0.0001292537,0.0004867765,0.01953274],"genre_scores_gemma":[0.9906977,0.0008206742,0.006502955,0.00004080295,0.00004092813,0.00004508195,0.00003802085,0.00002655352,0.001787244],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00531088,"threshold_uncertainty_score":0.01591283,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03751028069615478,"score_gpt":0.2919866345592695,"score_spread":0.2544763538631147,"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."}}