{"id":"W4247414788","doi":"10.1109/ccece.2017.7946812","title":"Systolic design space exploration of polynomial division over GF(m<sup>2</sup>)","year":2017,"lang":"en","type":"article","venue":"","topic":"Cryptography and Residue Arithmetic","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Polynomial; Division algorithm; Computer science; Systolic array; Algorithm; Division (mathematics); Cryptosystem; Inversion (geology); Very-large-scale integration; Theoretical computer science; Mathematics; Cryptography; Arithmetic; Embedded system; Mathematical analysis","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":[0.0003172768,0.0001230804,0.0001718909,0.000149749,0.0003557753,0.0002830972,0.0009667837,0.00007441996,0.00002311981],"category_scores_gemma":[0.00006382389,0.00009698878,0.0001020607,0.0001429455,0.0001011106,0.001536415,0.0003002951,0.00007979252,0.00003331917],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001285481,"about_ca_system_score_gemma":0.00004612314,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002706316,"about_ca_topic_score_gemma":0.00001045109,"domain_scores_codex":[0.9989333,0.00008129219,0.0001998003,0.0002939299,0.0002830738,0.0002086607],"domain_scores_gemma":[0.9985634,0.00009132724,0.0001676208,0.001035699,0.00006187341,0.00008008003],"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":[0.0002454561,0.001353651,0.02326374,0.0003159253,0.0003438471,0.0001245351,0.02290983,0.0393518,0.03234862,0.5852708,0.04433258,0.2501392],"study_design_scores_gemma":[0.002877101,0.0007857862,0.0986215,0.0002525221,0.00005023466,0.00002251461,0.0003533727,0.7841809,0.08827936,0.02043824,0.003146041,0.0009923646],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07085874,0.00007163877,0.9260625,0.0008132546,0.0001984194,0.0001920421,9.25171e-7,0.00007855266,0.001723886],"genre_scores_gemma":[0.9523196,0.00002610602,0.04732144,0.00004033466,0.00005990821,0.000007498239,6.163696e-7,0.000006554721,0.0002179083],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8814609,"threshold_uncertainty_score":0.3955088,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03794049535483371,"score_gpt":0.2705062507195025,"score_spread":0.2325657553646688,"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."}}