{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009626156,0.0002560249,0.0003526178,0.0002795534,0.0003579058,0.00006543373,0.002685625,0.0001598434,0.0000449925],"category_scores_gemma":[0.0001348465,0.0002679866,0.0001164796,0.0009890574,0.0002606722,0.0006741476,0.0009788428,0.0007103612,0.00004523357],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001851315,"about_ca_system_score_gemma":0.0001000476,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003715734,"about_ca_topic_score_gemma":0.0001075836,"domain_scores_codex":[0.9976251,0.000609636,0.0006070121,0.0003082497,0.0003565793,0.000493471],"domain_scores_gemma":[0.9956083,0.001462685,0.0002930786,0.002188617,0.0002536247,0.0001936471],"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":[0.0001442621,0.004287866,0.02179817,0.00004856382,0.0002037819,0.00000452837,0.06722368,0.01204232,0.01505116,0.6598398,0.001603547,0.2177524],"study_design_scores_gemma":[0.0007067675,0.00005408053,0.01969951,0.0001990315,0.000007838952,0.000006159752,0.0003816691,0.9774707,0.000486402,0.00002195716,0.0006512456,0.0003146245],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6319101,0.004124777,0.3494303,0.00646903,0.0007655694,0.001033783,0.00001792024,0.0003407222,0.005907789],"genre_scores_gemma":[0.9748285,0.001802514,0.02276207,0.000289685,0.00004605288,0.0001278682,0.00005378,0.00002575846,0.00006374404],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9654284,"threshold_uncertainty_score":0.9999772,"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."}}