{"id":"W2134203259","doi":"10.1109/depend.2009.10","title":"An Algorithm Based Fault Tolerant Scheme for Elliptic Curve Public-Key Cryptography","year":2009,"lang":"en","type":"article","venue":"","topic":"Cryptography and Residue Arithmetic","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"","keywords":"Cryptography; Public-key cryptography; Computer science; Elliptic curve cryptography; Key (lock); Fault tolerance; Scheme (mathematics); Algorithm; Cipher; Process (computing); Elliptic curve; Error detection and correction; Computation; Theoretical computer science; Computer engineering; Arithmetic; Mathematics; Encryption; Distributed computing; Computer network; Computer security; Operating system","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":[0.0004602741,0.0002866137,0.0002774745,0.0005435747,0.0003205269,0.0006110227,0.001322796,0.000138675,0.0000461172],"category_scores_gemma":[0.00002399809,0.0002350017,0.0003575994,0.001422261,0.00008398249,0.0009402522,0.00004178869,0.0001709359,0.00001996123],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001536203,"about_ca_system_score_gemma":0.00009764099,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002422182,"about_ca_topic_score_gemma":0.00001258067,"domain_scores_codex":[0.9977263,0.0000810904,0.0003587444,0.0007263219,0.0004135963,0.0006939236],"domain_scores_gemma":[0.9981289,0.0001304662,0.00009242842,0.001011981,0.0002744616,0.0003617489],"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":[0.00002103361,0.001354764,0.0007927928,0.00002713602,0.00006331175,0.0000213233,0.0003547671,0.0002209599,0.002976892,0.5411768,0.002718075,0.4502721],"study_design_scores_gemma":[0.0014515,0.001030511,0.004389368,0.00002028892,0.00001520614,0.00001171668,0.00005261388,0.9414749,0.004238615,0.02594887,0.02074502,0.0006213894],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005037897,0.0002282795,0.9884948,0.003698384,0.0002749905,0.0004732316,0.000009674301,0.0005638358,0.001218883],"genre_scores_gemma":[0.2423264,0.00001053712,0.7552134,0.00225185,0.0001110856,0.00003814894,0.00001771675,0.00001202011,0.00001887776],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.941254,"threshold_uncertainty_score":0.9583094,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01627239386850262,"score_gpt":0.2607650391080215,"score_spread":0.2444926452395188,"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."}}