{"id":"W1967391395","doi":"10.1109/icassp.2010.5494902","title":"Achievable rate region and sum-rate maximization for network beamforming for bi-directional relay networks","year":2010,"lang":"en","type":"article","venue":"","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Maximization; Beamforming; Relay; Constraint (computer-aided design); Transmitter power output; Computer science; Mathematical optimization; Power (physics); Mathematics; Telecommunications; Transmitter","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":[0.003236537,0.001920866,0.001396544,0.0008540091,0.0004815712,0.002053916,0.001141936,0.001268912,0.002894523],"category_scores_gemma":[0.01016057,0.0005513195,0.0008246338,0.001419017,0.001433564,0.002340108,0.001810606,0.001544812,0.001330962],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001351728,"about_ca_system_score_gemma":0.0007761443,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007183446,"about_ca_topic_score_gemma":0.000501484,"domain_scores_codex":[0.9976982,0.001321409,0.0000760547,0.0002014848,0.0004981055,0.000204703],"domain_scores_gemma":[0.9947405,0.003962489,0.0003614103,0.0002367336,0.0006013544,0.0000975251],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002375464,0.00008009315,0.0003016047,0.0004604232,0.0001180769,0.0002809204,0.0003824096,0.6711349,0.01457328,0.2827274,0.003138419,0.02656503],"study_design_scores_gemma":[0.00003000259,0.0001010081,0.000206236,0.00006850563,0.00003546864,0.0001676146,0.00007313761,0.8948627,0.003651084,0.09855868,0.002213459,0.00003215185],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0135213,0.001640757,0.9715331,0.0003628472,0.00003875988,0.00004664845,0.0001243886,0.0001379016,0.01259435],"genre_scores_gemma":[0.8209357,0.006709693,0.1626408,0.0003375949,0.0003091302,0.0008207794,0.0003033607,0.0002703032,0.007672579],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003236537,"threshold_uncertainty_score":0.01711661,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02972801645483786,"score_gpt":0.2625850752457633,"score_spread":0.2328570587909254,"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."}}