{"id":"W4396983017","doi":"10.1109/ncic61838.2023.00046","title":"Deep Learning Based Adaptive Physical Layer Key Distribution","year":2023,"lang":"en","type":"article","venue":"","topic":"Wireless Communication Security Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Key (lock); Computer science; Layer (electronics); Artificial intelligence; Materials science; Nanotechnology; Computer security","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":[0.00007579258,0.00007973733,0.00008697434,0.00004266037,0.00005495187,0.00002020019,0.0001388861,0.00004463608,0.000039198],"category_scores_gemma":[0.0000215019,0.00008256964,0.00003628931,0.0003192105,0.00002131499,0.00008513936,0.00004488463,0.00020414,0.0003034538],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005439159,"about_ca_system_score_gemma":0.000003906039,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007225786,"about_ca_topic_score_gemma":0.0000078743,"domain_scores_codex":[0.9995584,0.00002661289,0.00008259744,0.00008265221,0.0001058778,0.0001438039],"domain_scores_gemma":[0.9996043,0.00009981222,0.00001135868,0.0002122051,0.00003796883,0.00003436323],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003555003,0.0002487973,0.001585866,0.0001081563,0.0001192859,0.00001563948,0.002589312,0.7261512,0.03428545,0.1359608,0.02694831,0.07195168],"study_design_scores_gemma":[0.00006944054,0.00002398096,0.001395214,0.000008927378,0.000002525458,2.106289e-7,0.0000619678,0.963667,0.02556575,0.0007965722,0.008304861,0.0001034955],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1737149,0.00004964051,0.8008249,0.0002788265,0.00005361854,0.0001767913,0.00001018445,0.01093824,0.01395291],"genre_scores_gemma":[0.9984857,0.00001959165,0.00112208,0.00001296123,0.00002798472,0.00004171857,0.0001643783,0.00002096437,0.0001045746],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8247708,"threshold_uncertainty_score":0.3900386,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02106301789163666,"score_gpt":0.2562036776862292,"score_spread":0.2351406597945925,"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."}}