{"id":"W1832756347","doi":"10.1007/11894063_28","title":"Unified Point Addition Formulæ and Side-Channel Attacks","year":2006,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Cryptography and Residue Arithmetic","field":"Computer Science","cited_by":29,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"University of Waterloo","keywords":"Side channel attack; Affine transformation; Computer science; Point (geometry); Elliptic curve; Cryptography; Channel (broadcasting); Arithmetic; Mathematics; Algorithm; Pure mathematics; Geometry; Computer network","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001104431,0.001111275,0.001042766,0.001403235,0.001247689,0.002816951,0.001388,0.001848735,0.006553853],"category_scores_gemma":[0.002777352,0.0006643336,0.0008223096,0.00225145,0.002294717,0.00502514,0.003622127,0.003775781,0.002647643],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006755579,"about_ca_system_score_gemma":0.0006342067,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000126362,"about_ca_topic_score_gemma":0.0001394189,"domain_scores_codex":[0.9981921,0.0004528417,0.00008449179,0.0001624573,0.0008295107,0.0002785918],"domain_scores_gemma":[0.9987844,0.0003948935,0.0001021327,0.0004897344,0.000180894,0.00004806114],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001433205,0.00003420144,0.0000972577,0.0000644465,0.00001630906,0.0001360036,0.0001121689,0.00431439,0.003370165,0.9438928,0.004385571,0.04343326],"study_design_scores_gemma":[0.00002724977,0.00005030959,0.00008486397,0.00004168768,0.00002860595,0.0003823044,0.00003878522,0.02440494,0.005541983,0.9552477,0.01412019,0.00003136062],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.06480435,0.003439232,0.7788751,0.001939767,0.0008971874,0.0001335516,0.0002109378,0.001162789,0.1485371],"genre_scores_gemma":[0.8136345,0.003004797,0.1301015,0.0007015361,0.0008412374,0.0001887086,0.0002998335,0.0003926738,0.05083515],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006553853,"threshold_uncertainty_score":0.02192485,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01128440881028721,"score_gpt":0.2198661751988159,"score_spread":0.2085817663885287,"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."}}