{"id":"W4210440004","doi":"10.1109/apccas51387.2021.9687675","title":"Area-Efficient Finite Field Multiplication in $\\text{GF} (2^{n})$ Using Single-Electron Transistors","year":2021,"lang":"en","type":"article","venue":"","topic":"Coding theory and cryptography","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"GF(2); Finite field; Multiplication (music); Computer science; Transistor; Arithmetic; Physics; Mathematics; Discrete mathematics; Combinatorics; Voltage; Quantum mechanics","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":[],"consensus_categories":[],"category_scores_codex":[0.0002086725,0.0001093235,0.0001187687,0.0001646407,0.00008913496,0.00008729321,0.0003018683,0.00006185543,0.00005654637],"category_scores_gemma":[0.00006385212,0.0001111213,0.00009155643,0.0009597469,0.00001863267,0.000132526,0.00006281897,0.0001270295,0.000006783519],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005562091,"about_ca_system_score_gemma":0.00005596228,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003040046,"about_ca_topic_score_gemma":0.0001047596,"domain_scores_codex":[0.9989401,0.00008503679,0.0001993412,0.0003773457,0.00014657,0.0002516448],"domain_scores_gemma":[0.999157,0.0002616359,0.000040541,0.0004317915,0.00005693558,0.00005211967],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009725715,0.001982179,0.004021234,0.0000637851,0.00005304689,0.0001135456,0.00675914,0.05725703,0.3540458,0.38089,0.0002977482,0.1944193],"study_design_scores_gemma":[0.0007309395,0.00018782,0.001953039,0.00008763624,0.00001407397,0.00002985314,0.0001433403,0.6809738,0.3024358,0.009044819,0.003883843,0.000514974],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3150993,0.000120282,0.6812801,0.0006273484,0.0001264478,0.00006405433,3.305977e-7,0.0001065232,0.002575701],"genre_scores_gemma":[0.9843223,0.000005121209,0.01508334,0.0004820315,0.00001800512,0.000005979854,0.000001807254,0.000005501579,0.00007588362],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6692231,"threshold_uncertainty_score":0.4531396,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02868354050658158,"score_gpt":0.2433142988123959,"score_spread":0.2146307583058143,"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."}}