{"id":"W1511553427","doi":"","title":"Antenna allocation for MIMO radars with collocated antennas","year":2012,"lang":"en","type":"article","venue":"International Conference on Information Fusion","topic":"Radar Systems and Signal Processing","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Cramér–Rao bound; MIMO; Antenna (radio); Upper and lower bounds; Computer science; Radar; Mathematical optimization; Directional antenna; Convex optimization; Electronic engineering; Algorithm; Mathematics; Regular polygon; Telecommunications; Engineering; Estimation theory","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":[0.0001815462,0.0001343923,0.0001082361,0.0001781562,0.00009372764,0.0001315342,0.0001408003,0.00006671099,0.00009466051],"category_scores_gemma":[0.00002731912,0.0001107922,0.00003013091,0.0001146019,0.0000188416,0.001553142,0.00001089085,0.00008457164,0.00009008421],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009611805,"about_ca_system_score_gemma":0.00003633526,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001502441,"about_ca_topic_score_gemma":0.000004821963,"domain_scores_codex":[0.9991301,0.000008552674,0.0003078107,0.00006614874,0.0003015544,0.0001858194],"domain_scores_gemma":[0.9993163,0.00002543004,0.000102336,0.0000917733,0.0003934879,0.00007066032],"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":[0.002632606,0.0006576383,0.005712877,0.001511442,0.0007593891,0.000004413114,0.01867312,0.02525124,0.2228146,0.4210013,0.03771133,0.26327],"study_design_scores_gemma":[0.001358829,0.0001956847,0.002104052,0.0004145366,0.00001469483,0.00002827909,0.001360113,0.9258212,0.006153976,0.0001817628,0.06195785,0.0004089835],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1472393,0.00008502012,0.7862769,0.0008435925,0.002369757,0.0008284551,0.00008235406,0.000478354,0.06179624],"genre_scores_gemma":[0.997987,0.00002710087,0.001223225,0.0001600234,0.0001242771,0.00005321401,0.0002332275,0.00001239455,0.0001795535],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.90057,"threshold_uncertainty_score":0.4517974,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02321110679396349,"score_gpt":0.2442250074737755,"score_spread":0.221013900679812,"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."}}