{"id":"W2149916978","doi":"10.1109/arith.2003.1207678","title":"Low complexity sequential normal basis multipliers over GF(2/sup m/)","year":2004,"lang":"en","type":"article","venue":"","topic":"Cryptography and Residue Arithmetic","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Multiplier (economics); Finite field; Arithmetic; Mathematics; GF(2); Adder; Multiplication algorithm; Discrete mathematics; Computer science","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":[0.0002419651,0.0004983653,0.0003031803,0.0004025263,0.0002776559,0.0005678567,0.0005075291,0.000246204,0.005696457],"category_scores_gemma":[0.001036454,0.0001576409,0.0002069794,0.000631923,0.0002581873,0.001032451,0.0003124492,0.0004239832,0.002294674],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002628015,"about_ca_system_score_gemma":0.000630238,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000348284,"about_ca_topic_score_gemma":0.001197094,"domain_scores_codex":[0.999844,0.00003936809,0.00001366572,0.00002499218,0.00005690422,0.00002109715],"domain_scores_gemma":[0.9996483,0.00008075165,0.00006136158,0.00006915424,0.0001195167,0.000020802],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001124672,0.0001563392,0.001595352,0.000444535,0.00005719181,0.000411072,0.0001554105,0.01784721,0.2312484,0.09717934,0.007684624,0.6420959],"study_design_scores_gemma":[0.0003817194,0.003268992,0.003619462,0.0001435045,0.0001366898,0.005147836,0.0002309429,0.3293442,0.4462076,0.1124021,0.09901426,0.000102711],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1374105,0.001218001,0.8393015,0.0002848802,0.0002269262,0.0001742371,0.0002198686,0.002126131,0.01903781],"genre_scores_gemma":[0.4456333,0.0007278465,0.5394658,0.0001068921,0.0001069678,0.0001197506,0.0005118862,0.0000686081,0.01325894],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005696457,"threshold_uncertainty_score":0.0190565,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01904018307831434,"score_gpt":0.2416494959281031,"score_spread":0.2226093128497887,"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."}}