{"id":"W2168673745","doi":"10.1109/tsp.2010.2077631","title":"Sidelobe Control in Collaborative Beamforming via Node Selection","year":2010,"lang":"en","type":"article","venue":"IEEE Transactions on Signal Processing","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":70,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Beamforming; Selection (genetic algorithm); Computer science; Node (physics); Speech recognition; Artificial intelligence; Telecommunications; Engineering","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":[0.0006277912,0.0005327988,0.0005334726,0.0003238299,0.0003194097,0.0003658974,0.000711452,0.0004197485,0.0005626201],"category_scores_gemma":[0.001944922,0.0002765948,0.0003354413,0.000626241,0.0007505997,0.0007154976,0.0005841503,0.0004223222,0.0003232525],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002961999,"about_ca_system_score_gemma":0.0003651985,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006026335,"about_ca_topic_score_gemma":0.0008498435,"domain_scores_codex":[0.9993674,0.0002075601,0.00002268793,0.0001113228,0.0002441347,0.00004693428],"domain_scores_gemma":[0.9988877,0.0006855139,0.0001545245,0.0001053593,0.0001403346,0.00002650524],"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":[0.0003560902,0.0000628589,0.001050079,0.0001188255,0.00005545607,0.0001776855,0.0001897058,0.6933472,0.1048622,0.01698755,0.0007629502,0.1820294],"study_design_scores_gemma":[0.00001941861,0.0001392535,0.0002284882,0.000008525551,0.00001149591,0.00008958852,0.0000124144,0.9810517,0.01378424,0.003813655,0.0008267303,0.00001446772],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01989209,0.0002459516,0.9785968,0.00003883378,0.00001368148,0.00001814067,0.000009284374,0.0001468099,0.00103835],"genre_scores_gemma":[0.6807709,0.0005305583,0.3163757,0.00008247836,0.00004203794,0.0001492589,0.00005268411,0.00003670361,0.001959799],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.000711452,"threshold_uncertainty_score":0.003320098,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005077427243005984,"score_gpt":0.2232863009866042,"score_spread":0.2182088737435982,"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."}}