{"id":"W4399500535","doi":"10.1007/978-3-031-62746-0","title":"Post-Quantum Cryptography","year":2024,"lang":"en","type":"book","venue":"Lecture notes in computer science","topic":"Quantum Computing Algorithms and Architecture","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Institute of Standards and Technology; University of Waterloo; KU Leuven; Indian Statistical Institute; Lunds Universitet; Sogang University; Ewha Womans University; Shanghai Jiao Tong University; Tsinghua University; National Institute of Advanced Industrial Science and Technology","keywords":"Computer science; Quantum cryptography; Cryptography; Neural cryptography; Quantum; Theoretical computer science; Computer security; Public-key cryptography; Encryption; Quantum information; Physics; Quantum mechanics","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":["metaepi_narrow","scholarly_communication","open_science"],"consensus_categories":[],"category_scores_codex":[0.001163515,0.0008985064,0.0007669866,0.002405331,0.0003858148,0.001815611,0.006353704,0.000468275,0.00001291959],"category_scores_gemma":[0.000104354,0.0007555889,0.0004118581,0.003193814,0.0008950669,0.0004778546,0.003223008,0.002231087,0.0002325199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000324749,"about_ca_system_score_gemma":0.002041867,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002505606,"about_ca_topic_score_gemma":0.00002243867,"domain_scores_codex":[0.993579,0.00008799948,0.000704733,0.002767539,0.001529455,0.001331301],"domain_scores_gemma":[0.9963064,0.0006413915,0.0002430999,0.002158843,0.0003237838,0.0003264323],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00000411588,0.00006078028,0.00001123861,0.000191585,0.00003378982,0.0005861334,0.001565223,0.04643226,0.0001711504,0.02676565,0.0008744193,0.9233037],"study_design_scores_gemma":[0.0001191814,0.0002204897,0.00004348338,0.0005916097,0.000009337816,0.0001774898,9.971042e-8,0.6819854,0.0002073995,0.309891,0.006040523,0.0007139025],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0002382778,0.002310757,0.9850014,0.002322476,0.007042792,0.0003979219,0.00001751977,0.0008401397,0.001828725],"genre_scores_gemma":[0.03438487,0.0000817096,0.9543355,0.006157899,0.003601739,0.00002918769,0.00002935767,0.0001739582,0.001205826],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9225897,"threshold_uncertainty_score":0.9994895,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007546158104078718,"score_gpt":0.2333153958555247,"score_spread":0.2257692377514459,"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."}}