{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001373651,0.0001986634,0.0002023214,0.0002761184,0.0001885996,0.00005782967,0.0000744715,0.0001526919,0.00004572087],"category_scores_gemma":[0.000003308596,0.0002190383,0.00003604425,0.0007744822,0.00003129998,0.0007180261,2.560922e-7,0.0005613714,0.00001766559],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001475407,"about_ca_system_score_gemma":0.00006274512,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001469671,"about_ca_topic_score_gemma":0.0003200056,"domain_scores_codex":[0.9990105,0.00002325007,0.0003347173,0.0002165649,0.0001446625,0.0002703246],"domain_scores_gemma":[0.9995895,0.00005824652,0.00006106126,0.00008383246,0.0001417591,0.00006560166],"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":[0.00002481131,0.00002687515,0.00001891825,0.00004089021,0.000009183394,0.00000140236,0.0002883764,0.7569279,0.2114718,0.000002684962,0.000003128305,0.03118408],"study_design_scores_gemma":[0.0006783534,0.00003012594,0.00001085676,0.00007887322,0.00001577234,0.00001661877,0.0001280277,0.8758155,0.12286,0.00006075599,0.0000860846,0.0002191218],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0121934,0.00004289658,0.9861824,0.00002432551,0.0003254674,0.0003144007,0.000008900761,0.0003760332,0.0005322083],"genre_scores_gemma":[0.9841058,0.000004549293,0.01557218,0.00004751774,0.00007183826,0.0001046707,0.000001891196,0.000055174,0.00003635517],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9719124,"threshold_uncertainty_score":0.8932123,"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."}}