{"id":"W2078943717","doi":"10.1016/j.comcom.2012.08.002","title":"An efficient cooperative ARQ protocol for wireless relay networks","year":2012,"lang":"en","type":"article","venue":"Computer Communications","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Retransmission; Computer science; Selective Repeat ARQ; Computer network; Automatic repeat request; Relay; Sliding window protocol; Go-Back-N ARQ; Hybrid automatic repeat request; Network packet; Node (physics); Transmission (telecommunications); Real-time computing; Telecommunications; Telecommunications link; Window (computing); Engineering","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":[0.00138879,0.0006285267,0.0006819346,0.0005113527,0.0005204247,0.0007686671,0.001305438,0.0007056123,0.00152899],"category_scores_gemma":[0.002336885,0.0003024418,0.0003500234,0.0006015913,0.000580076,0.0009868945,0.001272422,0.0008732104,0.000521596],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004692716,"about_ca_system_score_gemma":0.0009060191,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000992278,"about_ca_topic_score_gemma":0.002424718,"domain_scores_codex":[0.9989622,0.0003394673,0.00004825112,0.00009248188,0.0004653633,0.00009224141],"domain_scores_gemma":[0.9987854,0.0005872695,0.00007326528,0.0002385739,0.0002844363,0.00003107387],"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":[0.0007390181,0.0002463845,0.0005065897,0.0003455824,0.0001530043,0.0006432183,0.0005419526,0.2824008,0.1348561,0.2108052,0.01233299,0.3564292],"study_design_scores_gemma":[0.000104618,0.0003366858,0.0002550813,0.00001954101,0.00009412195,0.0004214542,0.00004147534,0.9481767,0.01179394,0.02837354,0.01032814,0.00005476625],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01644594,0.0007195107,0.9782271,0.000209465,0.0001553007,0.0001174571,0.00006402937,0.0003718684,0.003689337],"genre_scores_gemma":[0.5829901,0.0009946398,0.4045001,0.0002867532,0.0002200676,0.0003660863,0.0001828226,0.00008144918,0.01037795],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00152899,"threshold_uncertainty_score":0.007344723,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08831808563240486,"score_gpt":0.3696879933524775,"score_spread":0.2813699077200727,"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."}}