{"id":"W2289940563","doi":"10.1002/sec.1462","title":"Binary field multiplication on ARMv8","year":2016,"lang":"en","type":"article","venue":"Security and Communication Networks","topic":"Cryptography and Residue Arithmetic","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Division of Electrical, Communications and Cyber Systems; Institute for Information and Communications Technology Promotion","keywords":"Multiplication (music); Computer science; Binary number; Arithmetic; Field (mathematics); Polynomial; Parallel computing; Mathematics; Combinatorics; Pure mathematics","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":[0.0002374971,0.0004755748,0.0002598277,0.0005841121,0.0003517265,0.0005210052,0.0006030641,0.0003183214,0.00962804],"category_scores_gemma":[0.0008024678,0.000163838,0.0001980233,0.0005956849,0.0002515081,0.000888055,0.0006864275,0.0003861681,0.002163854],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003747667,"about_ca_system_score_gemma":0.0003144538,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003812074,"about_ca_topic_score_gemma":0.0004457726,"domain_scores_codex":[0.9995797,0.0000932363,0.00002831208,0.00006521805,0.0001418577,0.00009161537],"domain_scores_gemma":[0.999656,0.00007115958,0.00005218095,0.00009768313,0.0001036074,0.00001950142],"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":[0.001750519,0.000159792,0.00187074,0.0004517328,0.00005287795,0.0006918611,0.0002586818,0.0221611,0.3298875,0.06484356,0.01206459,0.565807],"study_design_scores_gemma":[0.0002777586,0.001863758,0.003976025,0.0002642144,0.00009350794,0.002054751,0.0001838122,0.2899775,0.4849538,0.05942171,0.1567935,0.0001396739],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4660464,0.001425341,0.4646789,0.0004379349,0.0003068509,0.0001416724,0.0002997905,0.007691394,0.05897173],"genre_scores_gemma":[0.9102914,0.0001865635,0.07936944,0.0000785271,0.00003978201,0.00005312538,0.0002063152,0.0001088608,0.009665957],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00962804,"threshold_uncertainty_score":0.03220898,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007696747809404457,"score_gpt":0.2252605238997898,"score_spread":0.2175637760903854,"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."}}