{"id":"W4411950038","doi":"10.1109/vnc64509.2025.11054099","title":"Poster: Multi-Receiver Physical Layer Security Using Reconfigurable Intelligent Surfaces","year":2025,"lang":"en","type":"article","venue":"","topic":"Advanced Memory and Neural Computing","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"CODE","keywords":"Computer science; Physical layer; Layer (electronics); Computer architecture; Embedded system; Computer network; Telecommunications; Materials science; Wireless; Nanotechnology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005009847,0.00013292,0.000156222,0.00004434531,0.00007442552,0.00002438278,0.00009467086,0.00003978464,0.00005743739],"category_scores_gemma":[0.00001264994,0.0001219949,0.0000550902,0.0001516766,0.00001723178,0.0001438507,0.00002791974,0.0001765966,0.00003679669],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004768297,"about_ca_system_score_gemma":0.000007494805,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001398141,"about_ca_topic_score_gemma":0.00001163688,"domain_scores_codex":[0.9994163,0.00001800827,0.0001359622,0.0001627335,0.00005247995,0.0002145266],"domain_scores_gemma":[0.9997263,0.00007277879,0.00001322054,0.0001213616,0.00002626215,0.00004006474],"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":[0.00001936721,0.00008474386,0.0005320387,0.0001749804,0.00007728825,0.00001248343,0.000807751,0.469647,0.5148131,0.000466802,0.0003550499,0.01300946],"study_design_scores_gemma":[0.0001085008,0.00000681811,0.0001013126,0.00004151016,0.000008186654,0.00000203408,0.00006798538,0.3964983,0.6017921,0.0003023531,0.0009501196,0.0001207637],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9746741,0.000168759,0.01477836,0.00002391006,0.0004587361,0.000106899,0.000002041627,0.0003231508,0.009464039],"genre_scores_gemma":[0.9982204,0.00001811506,0.0008601899,0.00008106822,0.00004173264,0.000001337645,0.000001355871,0.00001271771,0.0007630843],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08697903,"threshold_uncertainty_score":0.4974807,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0371642719756082,"score_gpt":0.2986839302021105,"score_spread":0.2615196582265022,"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."}}