{"id":"W2376208633","doi":"","title":"A Fast Implementation of Montgomery Algorithm on ARM","year":2006,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Cryptography and Residue Arithmetic","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Modular arithmetic; Multiplication (music); ElGamal encryption; Modular design; Multiplication algorithm; Algorithm; Cryptography; Key (lock); Public-key cryptography; ARM architecture; Arithmetic; Embedded system; Encryption; Mathematics; Computer security; Operating system","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007293343,0.0001139701,0.000119869,0.0002126062,0.0001157094,0.00005917087,0.0004990309,0.0000367084,0.000009694177],"category_scores_gemma":[4.423869e-8,0.0001096772,0.00009614488,0.0006038013,0.00004264024,0.0001141575,0.0001047858,0.00007053708,0.00003890222],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001809309,"about_ca_system_score_gemma":0.00002714664,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001782687,"about_ca_topic_score_gemma":0.00001975236,"domain_scores_codex":[0.9990595,0.00002126477,0.0002744976,0.0003137895,0.0001487519,0.0001821739],"domain_scores_gemma":[0.9993536,0.00004384689,0.0001115086,0.0003836907,0.00006974767,0.00003756298],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[6.553268e-7,0.0003000731,0.0003229626,0.00001031327,0.00001596327,9.623434e-7,0.000137027,0.0001641137,0.004369004,0.07526191,0.001632421,0.9177846],"study_design_scores_gemma":[0.00297654,0.0005829822,0.1775309,0.00006454218,0.00006781894,0.00008220586,0.0002394371,0.02172676,0.295202,0.07707189,0.423173,0.001281865],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005121371,0.00009376308,0.9931486,0.0003358515,0.00001987919,0.0004230263,0.00001739186,0.0001071176,0.0007329986],"genre_scores_gemma":[0.1621442,0.000009860521,0.8371429,0.0002036346,0.0001490995,0.0002583872,0.00003436079,0.00001031102,0.0000472169],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9165027,"threshold_uncertainty_score":0.4472507,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004190091640178911,"score_gpt":0.2367142194292285,"score_spread":0.2325241277890495,"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."}}