{"id":"W2508924641","doi":"10.1109/isit.2016.7541548","title":"Helper-assisted state cancelation for multiple access channels","year":2016,"lang":"en","type":"article","venue":"","topic":"Wireless Communication Security Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Channel (broadcasting); Gaussian; Computer science; State (computer science); Boundary (topology); Topology (electrical circuits); Channel capacity; Sequence (biology); Computer network; Algorithm; Mathematics; Combinatorics; Physics; Mathematical analysis","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":[],"consensus_categories":[],"category_scores_codex":[0.00008765183,0.00008358696,0.00009256678,0.00006465945,0.00003949146,0.00003847979,0.00026531,0.00004553864,0.00005455758],"category_scores_gemma":[0.0000344512,0.00006315702,0.00003172405,0.00008332983,0.00001597595,0.0003502408,0.00004519007,0.00003427195,0.00001389406],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008205044,"about_ca_system_score_gemma":0.000008014906,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006454047,"about_ca_topic_score_gemma":0.000303333,"domain_scores_codex":[0.9995288,0.00001211713,0.0001566954,0.00009259034,0.00006527349,0.0001445462],"domain_scores_gemma":[0.9994016,0.0001578367,0.00002436686,0.0003058535,0.0000733288,0.00003704916],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00004633962,0.000104503,0.007309681,0.0002386891,0.0001269991,8.118074e-7,0.001081561,0.003273825,0.3039833,0.006241283,0.03172722,0.6458658],"study_design_scores_gemma":[0.001110458,0.00003683884,0.006597207,0.0001133834,0.000007406816,0.00000153259,0.00002794245,0.09628083,0.800778,0.003424693,0.09118076,0.0004409148],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1477223,0.00009224207,0.8470735,0.000670728,0.0001795908,0.0005128387,0.00004438277,0.001874528,0.001829886],"genre_scores_gemma":[0.9926678,0.000149373,0.006322825,0.00004089466,0.00002762852,0.0002854759,0.00001133734,0.00002803971,0.0004666219],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8449455,"threshold_uncertainty_score":0.2575468,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04544860140953949,"score_gpt":0.2933353560044334,"score_spread":0.2478867545948939,"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."}}