{"id":"W2317933924","doi":"10.1109/twc.2015.2504471","title":"Design and Analysis of Heterogeneous Physical Layer Network Coding","year":2015,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Phase-shift keying; Computer science; Relay; Linear network coding; Computer network; Throughput; Channel (broadcasting); Quadrature amplitude modulation; Bottleneck; Decoding methods; Relay channel; Physical layer; Electronic engineering; Bit error rate; Wireless; Telecommunications; Network packet; Engineering; Physics","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":[0.001093905,0.0006341626,0.0003815395,0.000495361,0.0003707287,0.0007613004,0.0008840069,0.0003933983,0.001105637],"category_scores_gemma":[0.003282702,0.0002658163,0.0002940855,0.0006232939,0.0007112476,0.0009569907,0.00078803,0.000607248,0.0001796201],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001517995,"about_ca_system_score_gemma":0.001435611,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003111649,"about_ca_topic_score_gemma":0.003238881,"domain_scores_codex":[0.9990768,0.0002720518,0.0000334832,0.0001242548,0.000374882,0.0001184296],"domain_scores_gemma":[0.9986352,0.0005644247,0.0001441624,0.0001897597,0.0004266627,0.00003973622],"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":[0.0000521795,0.00002344992,0.0005917234,0.00007459337,0.00002756866,0.0001064656,0.00006293144,0.8195606,0.01012503,0.1149076,0.000882672,0.05358512],"study_design_scores_gemma":[0.000004059827,0.00002210003,0.00007920148,0.000007098108,0.000007188604,0.0000325138,0.000007199053,0.990047,0.001639812,0.007171766,0.0009757444,0.000006198909],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008801162,0.0002718914,0.9862754,0.00008930211,0.00003069755,0.0000472244,0.00003637367,0.00007558134,0.004372259],"genre_scores_gemma":[0.7687798,0.0009111476,0.2268232,0.0001168709,0.00005110015,0.0002277867,0.0001420918,0.00004313499,0.002904769],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003111649,"threshold_uncertainty_score":0.01101387,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1031915636171296,"score_gpt":0.316668166497609,"score_spread":0.2134766028804794,"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."}}