{"id":"W2033078983","doi":"","title":"On optimal power allocation of layered coding in noisy wireless relay networks","year":2012,"lang":"en","type":"article","venue":"Wireless Personal Multimedia Communications","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Relay; Computer science; Linear network coding; Computer network; Coding (social sciences); Wireless; Relay channel; Node (physics); Scalability; Wireless network; Power (physics); Engineering; Telecommunications; Mathematics","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":[0.002106927,0.001012841,0.0007956677,0.0003932285,0.0002758777,0.00090174,0.0006329007,0.0007391087,0.0008285622],"category_scores_gemma":[0.007140084,0.0004833229,0.0003592135,0.000554754,0.001626125,0.001368831,0.001247286,0.0006613876,0.0001532429],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001127106,"about_ca_system_score_gemma":0.0006239777,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001514453,"about_ca_topic_score_gemma":0.001275244,"domain_scores_codex":[0.9990498,0.0005636553,0.00003100796,0.00006173542,0.0002181682,0.00007561026],"domain_scores_gemma":[0.9977944,0.001737701,0.0001607865,0.00009616544,0.0001710524,0.00003987343],"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":[0.00004729845,0.00001201701,0.0001527901,0.00004502936,0.00002129767,0.00004236775,0.00004495148,0.9585584,0.002504095,0.02981185,0.0002317768,0.008528127],"study_design_scores_gemma":[0.000006528167,0.00002523857,0.0000555243,0.000008842511,0.000005529403,0.00001222909,0.00000923993,0.9865981,0.0006987845,0.01243465,0.0001390052,0.000006241523],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04756277,0.0008394871,0.9460264,0.0002683504,0.00002662015,0.00004078551,0.00003991884,0.00006203895,0.005133691],"genre_scores_gemma":[0.9067832,0.00163627,0.08914544,0.00009655288,0.00006530416,0.0001109525,0.00005091766,0.00009072198,0.002020603],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002106927,"threshold_uncertainty_score":0.01114261,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04115262192504403,"score_gpt":0.2962624722956794,"score_spread":0.2551098503706354,"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."}}