{"id":"W2093554016","doi":"10.1109/tcomm.2012.12.110670","title":"Transmit Antenna Selection for Security Enhancement in MIMO Wiretap Channels","year":2012,"lang":"en","type":"article","venue":"IEEE Transactions on Communications","topic":"Wireless Communication Security Techniques","field":"Engineering","cited_by":424,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Fading; Transmitter; Channel (broadcasting); Channel state information; MIMO; Topology (electrical circuits); Computer science; Secrecy; Antenna (radio); Selection (genetic algorithm); Nakagami distribution; Signal-to-noise ratio (imaging); Algorithm; Computer network; Telecommunications; Mathematics; Wireless; Artificial intelligence; Combinatorics; Computer security","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":[0.0013206,0.001012663,0.0006199131,0.0004304005,0.0004036183,0.001056686,0.0006729127,0.0006446387,0.001717733],"category_scores_gemma":[0.002802596,0.0003491709,0.0006310419,0.0007573835,0.001438706,0.00120853,0.0009145936,0.0008468304,0.0005354462],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008174847,"about_ca_system_score_gemma":0.0007451714,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006818004,"about_ca_topic_score_gemma":0.0008048886,"domain_scores_codex":[0.9991043,0.0003619504,0.00002511737,0.00008473256,0.0002569429,0.0001669181],"domain_scores_gemma":[0.9971974,0.001721876,0.0003550136,0.000271832,0.0003828763,0.00007107438],"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":[0.0004095472,0.00007236676,0.001643127,0.0001595418,0.0000955285,0.0004219009,0.0001741879,0.8146431,0.02887907,0.1119679,0.001528856,0.04000482],"study_design_scores_gemma":[0.00001020176,0.0001155289,0.0001736893,0.00001164613,0.00002880861,0.0001299359,0.00002141955,0.987655,0.004425585,0.00678338,0.0006304461,0.00001442356],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03312168,0.0004520066,0.9616034,0.0001832705,0.00004626291,0.00004243648,0.0000440186,0.0002104168,0.004296496],"genre_scores_gemma":[0.9250315,0.001114059,0.07038432,0.0001152834,0.00009509388,0.00009235583,0.00005383817,0.00004238253,0.003071283],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001717733,"threshold_uncertainty_score":0.006984115,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03391912688999205,"score_gpt":0.2874597000552449,"score_spread":0.2535405731652529,"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."}}