{"id":"W2073880248","doi":"10.1109/wcl.2012.100912.120637","title":"Improved Throughput Physical-Layer Network Coding in Multi-Way Relay Channels with Binary Signaling","year":2012,"lang":"en","type":"article","venue":"IEEE Wireless Communications Letters","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Relay; Linear network coding; Computer science; Binary number; Computer network; Throughput; Node (physics); Coding (social sciences); Relay channel; Channel (broadcasting); Physical layer; Routing (electronic design automation); Algorithm; Topology (electrical circuits); Wireless; Mathematics; Telecommunications; Arithmetic; Network packet; 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":[0.002338988,0.0005983325,0.0006323566,0.0004018739,0.0003424725,0.0009334717,0.0007999856,0.0006780958,0.001052765],"category_scores_gemma":[0.00586672,0.0002702026,0.0002759963,0.0006934601,0.00108455,0.001352603,0.001079763,0.000759689,0.0001771426],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00111318,"about_ca_system_score_gemma":0.001174676,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002451123,"about_ca_topic_score_gemma":0.002556343,"domain_scores_codex":[0.9988878,0.0004938375,0.00003041744,0.00005959115,0.0003635455,0.0001647923],"domain_scores_gemma":[0.9968534,0.002372704,0.000208117,0.0002271626,0.0002940983,0.00004450251],"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":[0.0001615333,0.00004386182,0.0003110679,0.0001045292,0.00001667282,0.0001360248,0.0001032277,0.9107322,0.006559278,0.06776718,0.0006479732,0.01341646],"study_design_scores_gemma":[0.00001362615,0.00003208076,0.00006377423,0.000009051693,0.000005552314,0.0000251835,0.000009525037,0.9908938,0.001211141,0.00753054,0.0001990224,0.000006681503],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.188085,0.001342125,0.7972776,0.0007091163,0.0001134331,0.00007342707,0.0001333224,0.0002939784,0.01197199],"genre_scores_gemma":[0.9637747,0.0004130875,0.03440624,0.00005231033,0.00003061355,0.00005460042,0.00003602499,0.00001813097,0.00121439],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002451123,"threshold_uncertainty_score":0.01236993,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07665106158219796,"score_gpt":0.3053915965003876,"score_spread":0.2287405349181896,"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."}}