{"id":"W3188167219","doi":"10.1109/icc42927.2021.9500475","title":"Underlay Cognitive Network-Coded Cooperation over Nakagami-m Fading Channels","year":2021,"lang":"en","type":"article","venue":"","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Nakagami distribution; Fading; Linear network coding; Transmitter; Underlay; Cognitive radio; Computer science; Relay; Topology (electrical circuits); Computer network; Interference (communication); Telecommunications; Decoding methods; Signal-to-noise ratio (imaging); Mathematics; Power (physics); Channel (broadcasting); Wireless; Physics; Combinatorics","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":[0.001196635,0.001080926,0.0007178276,0.0004179874,0.0005676724,0.00105262,0.0007933514,0.0006105588,0.000453539],"category_scores_gemma":[0.00476964,0.000175592,0.0002933026,0.000864885,0.001345249,0.0009108931,0.001253334,0.0004467263,0.00008763477],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001188585,"about_ca_system_score_gemma":0.001452979,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00944701,"about_ca_topic_score_gemma":0.00858989,"domain_scores_codex":[0.998885,0.0003362689,0.00003592965,0.0001945507,0.0002698687,0.0002784002],"domain_scores_gemma":[0.9955958,0.002653966,0.0005402034,0.0002802819,0.0008135604,0.0001162158],"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":[0.0003023289,0.00005083079,0.001570671,0.0001681982,0.00007322217,0.0004351934,0.000270876,0.9556552,0.00910479,0.01560373,0.0003700462,0.01639496],"study_design_scores_gemma":[0.000008760077,0.00009638029,0.0003206937,0.000007514431,0.00002642291,0.0001203714,0.00005804097,0.9943274,0.002131912,0.002728487,0.0001602236,0.00001386074],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.5555837,0.001344762,0.4303106,0.0001802363,0.00005878645,0.00006285142,0.0001009395,0.0002029054,0.01215512],"genre_scores_gemma":[0.995313,0.0001620198,0.004075029,0.0000155327,0.000007914379,0.00001196777,0.00001023754,0.000003666539,0.0004005209],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.00944701,"threshold_uncertainty_score":0.01878405,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04795897133878955,"score_gpt":0.2952322474164109,"score_spread":0.2472732760776214,"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."}}