{"id":"W2738208647","doi":"10.1109/lwc.2017.2731840","title":"Physical Layer Security in Ultra-Dense Networks","year":2017,"lang":"en","type":"article","venue":"IEEE Wireless Communications Letters","topic":"Wireless Communication Security Techniques","field":"Engineering","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Physical layer; Secrecy; Stochastic geometry; Computer science; Rician fading; Fading; Computer network; Wireless; Channel (broadcasting); Telecommunications; Mathematics; Computer security; Statistics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003334989,0.0002913125,0.0003781604,0.0001774576,0.0005697287,0.0002581432,0.004464992,0.0001538714,0.000007257068],"category_scores_gemma":[0.00003506454,0.0003467339,0.0001290565,0.000192406,0.0005463472,0.0005714092,0.0003293819,0.001114742,0.0000477386],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001787266,"about_ca_system_score_gemma":0.00001523752,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002629409,"about_ca_topic_score_gemma":0.000849498,"domain_scores_codex":[0.9984861,0.0002124894,0.0004189609,0.0002484717,0.0002097454,0.0004242277],"domain_scores_gemma":[0.9920454,0.0002987312,0.0001525902,0.007339174,0.00006133183,0.0001027408],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009317816,0.002715606,0.04465167,0.0004063884,0.0006212809,0.00009781543,0.02547092,0.08415749,0.6562538,0.053192,0.058414,0.07392582],"study_design_scores_gemma":[0.001203338,0.00002459469,0.01574021,0.0003921952,0.00004539115,0.00002237535,0.0002102562,0.923031,0.0443336,0.001461017,0.01208682,0.001449194],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9808815,0.0003264162,0.005332666,0.005572855,0.0002235085,0.000408323,0.00001806246,0.000981775,0.006254915],"genre_scores_gemma":[0.9964612,0.0014335,0.001206509,0.0004238536,0.00009999593,0.0002558067,0.00003215819,0.00007833944,0.000008632933],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8388735,"threshold_uncertainty_score":0.9998985,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02551095551957235,"score_gpt":0.2852912983913028,"score_spread":0.2597803428717305,"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."}}