{"id":"W2911937719","doi":"10.1016/j.mejo.2019.01.011","title":"Scalable digit-serial processor array architecture for finite field division","year":2019,"lang":"en","type":"article","venue":"Microelectronics Journal","topic":"Cryptography and Residue Arithmetic","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Division (mathematics); Scalability; Array data structure; Computer science; Latency (audio); Computer hardware; Ranging; Processor array; Flexibility (engineering); Parallel computing; Arithmetic; Mathematics; Telecommunications","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":[0.0001245404,0.0004324274,0.0003420793,0.0005976107,0.0003300681,0.0005796543,0.0009927214,0.0002515928,0.01289849],"category_scores_gemma":[0.0003286632,0.0001570494,0.0002286008,0.0008386684,0.0001276216,0.0007451384,0.0004333829,0.0003952743,0.003136691],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004400079,"about_ca_system_score_gemma":0.0007696974,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009405853,"about_ca_topic_score_gemma":0.002416873,"domain_scores_codex":[0.9998313,0.00002606499,0.0000146658,0.00003822988,0.00006220883,0.00002750776],"domain_scores_gemma":[0.99981,0.00002532729,0.00002074482,0.00004277355,0.00008445451,0.00001665441],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001238286,0.0003697297,0.002478131,0.0006126733,0.0001467458,0.0005828338,0.0001520204,0.03321426,0.2543546,0.03061859,0.04686421,0.6293679],"study_design_scores_gemma":[0.0004640986,0.002589707,0.003492068,0.0001762684,0.000274587,0.002084108,0.0002078723,0.6016893,0.2499925,0.02092484,0.1179851,0.0001196448],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2365425,0.004557365,0.670643,0.0009570711,0.001033155,0.000340809,0.001306331,0.01381798,0.07080174],"genre_scores_gemma":[0.7270872,0.0008883752,0.241488,0.0005732169,0.0001811454,0.0001824668,0.001856961,0.0001252647,0.02761738],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01289849,"threshold_uncertainty_score":0.04314971,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004748547366894867,"score_gpt":0.2177063362862194,"score_spread":0.2129577889193245,"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."}}