{"id":"W2025012020","doi":"10.1109/glocomw.2012.6477616","title":"Delay performance of opportunistic network coding for a bidirectional relaying link","year":2012,"lang":"en","type":"article","venue":"","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Computer science; Relay; Network packet; Computer network; Linear network coding; Transmission delay; Scheduling (production processes); End-to-end delay; Processing delay; Network delay; Node (physics); Real-time 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007017671,0.00007773948,0.0001169046,0.00004732644,0.0002757528,0.00002868648,0.0004006114,0.00003351907,0.00003832135],"category_scores_gemma":[0.00005147699,0.00007064527,0.0000494906,0.0002968338,0.00002635961,0.0003951236,0.0001966039,0.0000836258,0.000008232768],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002760736,"about_ca_system_score_gemma":0.00004649994,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":8.037133e-7,"about_ca_topic_score_gemma":0.000001679174,"domain_scores_codex":[0.9992507,0.00004630013,0.0002272745,0.0001168135,0.0001056768,0.0002532626],"domain_scores_gemma":[0.9990625,0.0003018421,0.00009375095,0.0003262776,0.000135543,0.00008010326],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001538264,0.00005387124,0.01541676,0.00003138864,0.00003285951,1.704076e-7,0.000452511,0.001112372,0.0009039653,0.784646,0.004649337,0.1926853],"study_design_scores_gemma":[0.0002930561,0.00009518174,0.005686666,0.00008523783,0.0000100832,0.00001760522,0.00001229168,0.929369,0.000780155,0.000249138,0.06318101,0.0002205774],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01339761,0.0006069639,0.9752983,0.0005079383,0.0005716572,0.0001667377,7.997539e-7,0.0001080232,0.009342012],"genre_scores_gemma":[0.9058363,0.0004361843,0.09255376,0.0002409187,0.0002479219,0.00002720298,0.00000404182,0.000005731612,0.000647922],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9282566,"threshold_uncertainty_score":0.288083,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08577836556351305,"score_gpt":0.297795001751558,"score_spread":0.212016636188045,"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."}}