{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006169298,0.0005528616,0.0005774295,0.0003765727,0.0002477813,0.0005766862,0.001219617,0.0005918175,0.001794227],"category_scores_gemma":[0.001443651,0.0003041119,0.0003385713,0.0003938023,0.0005665335,0.001504523,0.0009609784,0.001289219,0.0003725416],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007750985,"about_ca_system_score_gemma":0.0008426339,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002571929,"about_ca_topic_score_gemma":0.003373053,"domain_scores_codex":[0.9996959,0.00004488265,0.00001671829,0.00006673644,0.0000909095,0.00008484688],"domain_scores_gemma":[0.9995744,0.0001567723,0.0000636853,0.00004911158,0.0001305499,0.00002557632],"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":[0.0002343726,0.0001845864,0.00126413,0.00009589834,0.00005210741,0.00009818486,0.00006657239,0.6997738,0.01829369,0.01224369,0.002904485,0.2647886],"study_design_scores_gemma":[0.000004311286,0.00001441981,0.00004639408,0.000001719948,0.000003062219,0.000008286132,0.000002615394,0.9968755,0.001588952,0.001274138,0.0001785616,0.000001990596],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03976444,0.0004263023,0.9560483,0.0002549787,0.00006998814,0.00003718432,0.00005077436,0.0009523813,0.002395644],"genre_scores_gemma":[0.9199169,0.0002765371,0.07472464,0.000189053,0.00003758708,0.00005710923,0.0001286083,0.0000417765,0.004627796],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002571929,"threshold_uncertainty_score":0.006002247,"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."}}