{"id":"W2963658073","doi":"10.1109/cns.2015.7346838","title":"Adversarial wiretap channel with public discussion","year":2015,"lang":"en","type":"article","venue":"","topic":"Wireless Communication Security Techniques","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Adversarial system; Computer science; Channel (broadcasting); Telecommunications; Computer network; Computer security; Artificial intelligence","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":[0.0001197148,0.00009070071,0.00009262956,0.00006656177,0.00002606989,0.00003997432,0.000240916,0.00005567574,0.00003708948],"category_scores_gemma":[0.00001410699,0.000053708,0.00001689254,0.0001515001,0.00003041718,0.00029893,0.00006494314,0.0001156452,0.00004612078],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005615339,"about_ca_system_score_gemma":0.00002172261,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001949467,"about_ca_topic_score_gemma":0.00006944645,"domain_scores_codex":[0.9995033,0.00002014276,0.00009856983,0.00008008607,0.0001585663,0.0001392979],"domain_scores_gemma":[0.9993994,0.000009495982,0.00001349183,0.0004006873,0.0000572129,0.0001196928],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003161689,0.0008780712,0.006409378,0.0003005356,0.0006081859,0.00004927843,0.03454392,0.02062928,0.005867832,0.2090222,0.5834395,0.1379357],"study_design_scores_gemma":[0.00381882,0.0004489461,0.001423647,0.0001544479,0.00004047606,0.00005482008,0.00340285,0.4521032,0.03133211,0.009220068,0.4962053,0.001795267],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0768135,0.0004521174,0.4891628,0.01353891,0.0006877282,0.0009186509,0.00001196161,0.01444462,0.4039697],"genre_scores_gemma":[0.9944175,0.00001410942,0.005141871,0.00004275727,0.00004553246,0.00002703683,0.00001404276,0.00002467735,0.0002724529],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.917604,"threshold_uncertainty_score":0.2190149,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03685030809863261,"score_gpt":0.2280873554376011,"score_spread":0.1912370473389685,"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."}}