{"id":"W4408138048","doi":"10.18280/mmep.120235","title":"Design and Implementation of Low Power Generic Reversible Binary-Coded Decimal Adder on Artix-7 FPGA","year":2025,"lang":"en","type":"article","venue":"Mathematical Modelling and Engineering Problems","topic":"Coding theory and cryptography","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Field-programmable gate array; Adder; Decimal; Binary number; Arithmetic; Computer science; Computer hardware; Mathematics; Telecommunications","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003541546,0.0001196941,0.0001619503,0.0001616969,0.00005865899,0.00005765787,0.0001316919,0.00004327461,0.000006533814],"category_scores_gemma":[0.000008364665,0.0001074412,0.00003253749,0.0002610901,0.00002291411,0.0001068145,0.00006724473,0.00008064628,0.000001498219],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007840873,"about_ca_system_score_gemma":0.00001130868,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001289244,"about_ca_topic_score_gemma":4.157192e-8,"domain_scores_codex":[0.9992748,0.00002102208,0.0002113216,0.0002150951,0.0001033498,0.0001743636],"domain_scores_gemma":[0.9995348,0.0001731943,0.00003341787,0.0001846881,0.00002505446,0.00004879788],"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":[0.00001052344,0.00005471212,0.000007637136,0.0003934475,0.00003303404,0.000001151791,0.001003899,0.7373273,0.003111804,0.2558444,0.00003586905,0.002176208],"study_design_scores_gemma":[0.000221952,0.0001190885,0.0000151222,0.0002579378,0.00001115924,0.000002487362,0.00002204599,0.9229092,0.005198674,0.07110488,0.00002827595,0.0001092032],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09540135,0.0001539061,0.9039802,0.00009116335,0.00004014771,0.0001526255,4.726438e-7,0.00007664946,0.0001034877],"genre_scores_gemma":[0.7912823,0.00002748321,0.2086184,0.00002457713,0.000003670483,0.00001806036,3.880413e-7,0.000006362559,0.00001874163],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6958809,"threshold_uncertainty_score":0.4381323,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01936665366118238,"score_gpt":0.2281098181087396,"score_spread":0.2087431644475573,"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."}}