{"id":"W4308008047","doi":"10.32920/21454341.v1","title":"Signature and Residue Testing of Microprogrammable Control Units","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Radiation Effects in Electronics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Residue number system; Arithmetic; Computer science; Error detection and correction; Residue (chemistry); Arithmetic logic unit; Algebraic number; Digital signature; Coding (social sciences); Base (topology); Computer hardware; Algorithm; Mathematics; Programming language","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":[0.0002567876,0.0001878813,0.0002789814,0.0001092461,0.00004073251,0.00002936733,0.0001842845,0.0002043772,0.00007408128],"category_scores_gemma":[0.0001838435,0.0002028374,0.0000275364,0.0002667108,0.00002497843,0.0000268968,0.0001311599,0.0009862359,8.352577e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001101265,"about_ca_system_score_gemma":0.00009432313,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001079965,"about_ca_topic_score_gemma":0.00002576414,"domain_scores_codex":[0.9991478,0.00005267821,0.0002229682,0.0001986735,0.0001418788,0.0002359528],"domain_scores_gemma":[0.9992043,0.0003172911,0.0000732947,0.0002820242,0.00008164503,0.00004140315],"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":[0.000004150301,0.000006073434,0.0004625565,0.0004375356,0.0001002945,0.000003636343,0.00006147511,0.9876462,0.003095589,0.0004298711,0.0009435695,0.006809005],"study_design_scores_gemma":[0.000547293,0.0000931115,0.0008877637,0.00007637373,0.0000814359,0.000009221522,0.00003488142,0.9822117,0.006404962,0.001189134,0.008067247,0.0003968533],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8866814,0.03806876,0.01939924,0.0001670501,0.001811536,0.002937661,0.0002865586,0.002427639,0.04822017],"genre_scores_gemma":[0.9930001,0.00006017815,0.006400473,0.00002885937,0.0000574084,0.00006663492,0.00003529225,0.0000585851,0.0002924325],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1063188,"threshold_uncertainty_score":0.8271468,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008760587526195702,"score_gpt":0.2044902876381503,"score_spread":0.1957297001119546,"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."}}