{"id":"W2581580340","doi":"10.1155/2017/7206187","title":"Physical Layer Authentication Enhancement Using Maximum SNR Ratio Based Cooperative AF Relaying","year":2017,"lang":"en","type":"article","venue":"Wireless Communications and Mobile Computing","topic":"Wireless Communication Security Techniques","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Defence Research and Development Canada; Western University","funders":"","keywords":"Computer science; Relay; Computer network; Physical layer; Authentication (law); Spoofing attack; Transmitter; Maximal-ratio combining; Transmission (telecommunications); Channel (broadcasting); Wireless network; Wireless; Macrocell; Signal-to-noise ratio (imaging); Telecommunications; Computer security; Fading; Power (physics); Base station","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":[0.0009514354,0.0009119461,0.0005258276,0.0006078734,0.0004242328,0.0006935903,0.0007001951,0.0006903007,0.0009221736],"category_scores_gemma":[0.003330166,0.0001862359,0.0004191464,0.0005043001,0.0006655107,0.001347882,0.0009023684,0.0005088542,0.0004443306],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003019572,"about_ca_system_score_gemma":0.0003535739,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000411991,"about_ca_topic_score_gemma":0.0005765219,"domain_scores_codex":[0.9992589,0.0002131313,0.00005555547,0.0001076773,0.0002755655,0.00008915384],"domain_scores_gemma":[0.9981602,0.0008701769,0.0002895842,0.0002770999,0.0003581625,0.00004480156],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000964097,0.0002967585,0.003722537,0.0003594458,0.0001166184,0.001261282,0.0007270928,0.1719188,0.4267449,0.04117314,0.001560552,0.3511548],"study_design_scores_gemma":[0.00005452688,0.0008355058,0.001468259,0.00003310751,0.0001237953,0.001692463,0.00011022,0.8846657,0.09881066,0.008216251,0.003923539,0.00006605315],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08125097,0.000607346,0.912428,0.0001953652,0.00007156716,0.00005880232,0.00003762882,0.0005722385,0.004777918],"genre_scores_gemma":[0.9128349,0.0003693281,0.08556117,0.00006497621,0.00004840628,0.00002819671,0.00002595918,0.0000128772,0.001054148],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0009514354,"threshold_uncertainty_score":0.005031765,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04057627967864953,"score_gpt":0.3212144891352171,"score_spread":0.2806382094565676,"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."}}