{"id":"W4403183195","doi":"10.1109/spawc60668.2024.10694312","title":"Antenna Position Optimization of Sparse Arrays for Near-Field Multiuser Communications","year":2024,"lang":"en","type":"article","venue":"","topic":"Antenna Design and Analysis","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Research and Development; National Natural Science Foundation of China","keywords":"Position (finance); Computer science; Antenna (radio); Field (mathematics); Telecommunications; Electronic engineering; Engineering; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005498069,0.0008608113,0.0008170732,0.0002701892,0.0002323802,0.0005611631,0.0005302292,0.0005234298,0.001135081],"category_scores_gemma":[0.001484821,0.0004338521,0.0005656538,0.0008144932,0.0005032428,0.0008417476,0.0007376099,0.0009218103,0.0005207446],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003598719,"about_ca_system_score_gemma":0.0005999829,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001191888,"about_ca_topic_score_gemma":0.001408813,"domain_scores_codex":[0.9994735,0.0002131167,0.0000157415,0.00007622004,0.0001719815,0.00004957183],"domain_scores_gemma":[0.9995147,0.0002721651,0.00006692515,0.00004273458,0.00008373825,0.00001965523],"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":[0.00005299302,0.00002088161,0.0002830188,0.0000609811,0.0000301075,0.00003893028,0.00004224512,0.9445786,0.004707028,0.008207438,0.001031832,0.04094589],"study_design_scores_gemma":[0.000003543214,0.00002740158,0.0000459718,0.000002908448,0.000004229709,0.00001718968,0.000007099032,0.9969383,0.0007168733,0.001869746,0.00036277,0.000003945574],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004758206,0.0001870277,0.9937821,0.00005928904,0.00001804383,0.000008087519,0.00001661849,0.00009480455,0.00107583],"genre_scores_gemma":[0.617806,0.001389594,0.3756209,0.0001899031,0.0001419919,0.0001752794,0.0002167891,0.000107487,0.004352023],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001191888,"threshold_uncertainty_score":0.003797233,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02160270908825691,"score_gpt":0.2522461401688108,"score_spread":0.2306434310805539,"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."}}