{"id":"W2028608901","doi":"10.1109/icassp.2014.6855077","title":"Multi-antenna relay network beamforming design for multiuser peer-to-peer communications","year":2014,"lang":"en","type":"article","venue":"","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Relay; Beamforming; Computer science; Computational complexity theory; Mathematical optimization; Antenna (radio); Relaxation (psychology); Transmitter power output; Power (physics); Algorithm; Computer network; Mathematics; Telecommunications","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":[],"consensus_categories":[],"category_scores_codex":[0.002537135,0.0001956056,0.000227042,0.00009699201,0.0009254992,0.0002598756,0.003302835,0.00007532296,0.00001798936],"category_scores_gemma":[0.0008290207,0.0001755145,0.00010099,0.0005896997,0.00005682524,0.000407108,0.001351565,0.0002233999,0.0001324809],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005602014,"about_ca_system_score_gemma":0.00004841297,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009465848,"about_ca_topic_score_gemma":0.0001600744,"domain_scores_codex":[0.9981594,0.0003458102,0.0003890645,0.0003770967,0.0002769994,0.0004516323],"domain_scores_gemma":[0.9947048,0.001283669,0.000103179,0.002758974,0.0009595389,0.0001897844],"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":[0.0000473027,0.0005076956,0.001084914,0.00001960461,0.0001280058,6.865201e-7,0.00743454,0.05820783,0.00688946,0.4478783,0.1811351,0.2966666],"study_design_scores_gemma":[0.0003869659,0.00005579762,0.0003167948,0.00002637611,0.000005188709,0.000001436927,0.00002335656,0.7120315,0.0001492787,0.000215852,0.2865904,0.0001971126],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0001059295,0.0001576285,0.9788061,0.01812186,0.0003317418,0.0007254676,0.000001288282,0.0003283465,0.001421614],"genre_scores_gemma":[0.1495368,0.00008316909,0.8396116,0.003162635,0.00009192344,0.0002173328,0.00001257715,0.00002056495,0.00726335],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.6538236,"threshold_uncertainty_score":0.7157272,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.122976763712675,"score_gpt":0.3370728254138115,"score_spread":0.2140960617011365,"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."}}