{"id":"W4231955914","doi":"10.32920/ryerson.14656857.v1","title":"A new Modulo Addition with enhanced scalable security against algebraic attack","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Cryptographic Implementations and Security","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Modulo; Probabilistic logic; Computer science; Algebraic number; Scalability; Theoretical computer science; Advanced Encryption Standard; Block cipher; Cryptography; Mathematics; Discrete mathematics; Algorithm","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000211161,0.0003797429,0.0004035586,0.0002223225,0.0001992667,0.0009614802,0.0009717115,0.0002079575,0.001037865],"category_scores_gemma":[0.00001549279,0.0003445137,0.0001976902,0.0007883769,0.00004471083,0.0005688569,0.001294923,0.0005675402,0.00002673396],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008943403,"about_ca_system_score_gemma":0.0007406256,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005706989,"about_ca_topic_score_gemma":0.002281829,"domain_scores_codex":[0.9973223,0.0001056109,0.0004207987,0.00112028,0.0005747289,0.0004562488],"domain_scores_gemma":[0.9978013,0.00005787952,0.0002235194,0.001375967,0.0002948791,0.0002464271],"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":[0.0001176464,0.002143694,0.0009543349,0.001491784,0.001787973,0.0003750697,0.04531844,0.008720965,0.003211479,0.2971228,0.257505,0.3812509],"study_design_scores_gemma":[0.01333305,0.001553242,0.01401416,0.003579593,0.0004907455,0.0001862892,0.005923108,0.5555035,0.08633264,0.2474724,0.0596399,0.01197145],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1714319,0.0001152387,0.820411,0.000700473,0.0004224996,0.0004664046,0.00003790044,0.0003202014,0.00609433],"genre_scores_gemma":[0.801565,0.0001404648,0.1963544,0.0006982114,0.0001477591,0.0001033686,0.0006660784,0.00002089033,0.0003038514],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6301331,"threshold_uncertainty_score":0.9999007,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01705577823246407,"score_gpt":0.266030379912824,"score_spread":0.24897460168036,"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."}}