{"id":"W3105977417","doi":"10.20381/ruor-171","title":"Efficient Simulation for Quantum Message Authentication","year":2016,"lang":"en","type":"book-chapter","venue":"uO Research (University of Ottawa)","topic":"Quantum Information and Cryptography","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Message authentication code; Authentication (law); Adversary; Theoretical computer science; Encoding (memory); Decoding methods; Quantum; Context (archaeology); Code (set theory); Class (philosophy); Computer network; Computer security; Algorithm; Cryptography; Programming language; Physics; Geography; Quantum mechanics","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":[0.0009550606,0.0005315727,0.0005255034,0.0003774353,0.0007984902,0.001513293,0.0007386623,0.0009437968,0.008581363],"category_scores_gemma":[0.003134064,0.0004145721,0.0007911899,0.0004235957,0.002082094,0.002853862,0.001496549,0.002108823,0.001822287],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001401999,"about_ca_system_score_gemma":0.001509647,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006346185,"about_ca_topic_score_gemma":0.000607927,"domain_scores_codex":[0.9991793,0.0003332367,0.00003545721,0.00009252907,0.0002917743,0.00006761144],"domain_scores_gemma":[0.9988973,0.0007165376,0.00003968998,0.0002252608,0.00009080605,0.00003031498],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003902586,0.00002066987,0.00008675598,0.00006922577,0.000008985583,0.00003380062,0.0001292576,0.02974135,0.002248713,0.9521497,0.002094856,0.0133775],"study_design_scores_gemma":[0.00003021429,0.00004284065,0.00004691272,0.00005965526,0.00001209268,0.00007712811,0.00002746567,0.2736378,0.005346295,0.6847251,0.035976,0.0000185445],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02623182,0.001848317,0.8766449,0.001808222,0.0003699622,0.0002518147,0.0001614785,0.0008517197,0.0918318],"genre_scores_gemma":[0.6300714,0.003659809,0.2879275,0.0005715194,0.0002846216,0.0007870827,0.0004299539,0.0004957738,0.07577245],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008581363,"threshold_uncertainty_score":0.02870756,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0591515912984945,"score_gpt":0.3027870740330595,"score_spread":0.243635482734565,"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."}}