{"id":"W2140787501","doi":"10.1109/tvt.2005.863426","title":"A Node-Cooperative ARQ Scheme for Wireless Ad Hoc Networks","year":2006,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":190,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Retransmission; Computer science; Jitter; Automatic repeat request; Computer network; Node (physics); Throughput; Wireless ad hoc network; Markov process; Wireless network; Wireless; Hybrid automatic repeat request; Real-time computing; Network packet; Engineering; Mathematics; Telecommunications link; Telecommunications; Statistics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0008943029,0.0004162674,0.0003530116,0.0003138276,0.000484002,0.0002803203,0.001179453,0.0005859712,0.0006275938],"category_scores_gemma":[0.001188205,0.000165271,0.0004091343,0.0003243415,0.0003894663,0.0006862064,0.0004494971,0.0005175977,0.0002805668],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002759937,"about_ca_system_score_gemma":0.000470505,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008243977,"about_ca_topic_score_gemma":0.001139734,"domain_scores_codex":[0.9995599,0.0001395554,0.00001795746,0.00007231157,0.0001736816,0.00003647243],"domain_scores_gemma":[0.9993989,0.0002143232,0.00006708122,0.000129903,0.0001588272,0.00003092316],"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":[0.0003870616,0.000384184,0.001640718,0.0004553934,0.0002349794,0.0009442362,0.000842396,0.302975,0.1926586,0.1307996,0.004209631,0.3644682],"study_design_scores_gemma":[0.00004635444,0.0005430193,0.0004845187,0.00001017638,0.00006766622,0.0006174059,0.00004319036,0.9671449,0.01295493,0.009274664,0.008765961,0.00004717979],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04400446,0.001069012,0.952074,0.000136816,0.0000980382,0.0001206448,0.00002590384,0.0004385432,0.002032616],"genre_scores_gemma":[0.7948862,0.0007202009,0.2002263,0.0001598591,0.00007500665,0.0001550636,0.00005933509,0.0000236435,0.003694449],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001179453,"threshold_uncertainty_score":0.004729629,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0160199585887187,"score_gpt":0.2494040336984629,"score_spread":0.2333840751097442,"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."}}