{"id":"W2886129671","doi":"10.1155/2018/8407297","title":"Precoding‐Aided Spatial Modulation for the Wiretap Channel with Relay Selection and Cooperative Jamming","year":2018,"lang":"en","type":"article","venue":"Wireless Communications and Mobile Computing","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Qatar National Research Fund; Fonds National de la Recherche Luxembourg; Qatar Foundation","keywords":"Computer science; Jamming; Relay; Precoding; Secrecy; Computer network; Channel (broadcasting); Node (physics); Wireless; Physical layer; MIMO; Telecommunications; Topology (electrical circuits); Power (physics); Electrical engineering; 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":[0.0006604638,0.0006686921,0.0004387351,0.0003277564,0.0003826056,0.0005267787,0.0006986238,0.0006025169,0.0008506581],"category_scores_gemma":[0.001479567,0.0002096087,0.0003314568,0.0006088461,0.0008992982,0.0007538045,0.00080041,0.0006429449,0.0003027652],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004129386,"about_ca_system_score_gemma":0.0006695677,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007096992,"about_ca_topic_score_gemma":0.0009275842,"domain_scores_codex":[0.9994534,0.0002153158,0.00001500921,0.00006528036,0.0001715945,0.00007948268],"domain_scores_gemma":[0.9992228,0.0003898214,0.0001265692,0.0001276841,0.0001128941,0.00002023711],"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":[0.0003080223,0.00009770634,0.001091719,0.0002801916,0.0001018773,0.0005765056,0.000283513,0.7010142,0.04509306,0.1698816,0.001857241,0.07941445],"study_design_scores_gemma":[0.00001577093,0.0001160041,0.000113869,0.000009604733,0.00002061816,0.0001619215,0.00001741683,0.9863052,0.004016491,0.007585471,0.001621777,0.00001578321],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04456898,0.0005530406,0.9497982,0.000247399,0.00005585625,0.00003744011,0.0000492356,0.0001348011,0.004554991],"genre_scores_gemma":[0.929478,0.0006770585,0.06712286,0.0001042889,0.00007399724,0.00007969663,0.0000463175,0.00001419164,0.002403578],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0008506581,"threshold_uncertainty_score":0.003492892,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01818316703516608,"score_gpt":0.2572344566298123,"score_spread":0.2390512895946462,"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."}}