{"id":"W4213306896","doi":"10.1109/tvlsi.2022.3148207","title":"An Optimized M-Term Karatsuba-Like Binary Polynomial Multiplier for Finite Field Arithmetic","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Very Large Scale Integration (VLSI) Systems","topic":"Cryptography and Residue Arithmetic","field":"Computer Science","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Multiplier (economics); Field-programmable gate array; Finite field; Galois theory; Computer science; Arithmetic; Polynomial basis; Binary number; Finite field arithmetic; Parallel computing; Mathematics; Computer hardware; Discrete 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0006977079,0.000365994,0.0004319615,0.0006832892,0.001426568,0.0004071738,0.0009198163,0.0001875794,0.0001390901],"category_scores_gemma":[0.00001020418,0.000346829,0.0004635793,0.0007997395,0.00006842725,0.0006430319,0.00001185967,0.000612505,0.00003417928],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000154544,"about_ca_system_score_gemma":0.0001159175,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000119034,"about_ca_topic_score_gemma":0.00008395771,"domain_scores_codex":[0.9969404,0.000461818,0.0006682028,0.0008276547,0.0005586455,0.0005433245],"domain_scores_gemma":[0.9978876,0.0005827952,0.0001969207,0.0009586925,0.0001632548,0.0002108015],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00244271,0.006818483,0.0001405041,0.0002759171,0.0005633657,0.0001074993,0.01075105,0.8827727,0.02803311,0.002703882,0.01210139,0.05328932],"study_design_scores_gemma":[0.003323688,0.00184527,0.00008379601,0.00007950204,0.00008605346,0.00007753307,0.001454852,0.9742033,0.01042583,0.00007381341,0.007671644,0.0006747447],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01807846,0.0001294582,0.9728999,0.0004620908,0.00642697,0.001216439,0.000293339,0.0003654946,0.0001278538],"genre_scores_gemma":[0.9840786,0.00002193216,0.01287735,0.0004763376,0.0001653922,0.001386773,0.00004992305,0.00004009005,0.0009036394],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9660001,"threshold_uncertainty_score":0.9998984,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01268377404268676,"score_gpt":0.2497380834496077,"score_spread":0.237054309406921,"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."}}