{"id":"W2584805892","doi":"10.1109/icassp.1985.1168328","title":"Complex digital signal processing using quadratic residue number systems","year":2005,"lang":"en","type":"article","venue":"","topic":"Cryptography and Residue Arithmetic","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Residue number system; Quadratic residue; Quadratic equation; Residue (chemistry); Digital signal processing; Binary number; Arithmetic; Computer science; Moduli; Digital filter; Multiplication (music); Signal processing; Algorithm; Mathematics; Computer hardware; Filter (signal processing); Combinatorics","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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0001409538,0.0001541127,0.0001738966,0.00009547375,0.0002534035,0.001137779,0.00050655,0.00005559261,0.00008389451],"category_scores_gemma":[0.000005652275,0.0001238563,0.0000762036,0.0004927662,0.00007402835,0.001001963,0.0001355572,0.0001066661,0.0001783698],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000342859,"about_ca_system_score_gemma":0.00006707945,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007025744,"about_ca_topic_score_gemma":0.00001143724,"domain_scores_codex":[0.9986687,0.00004037008,0.0002915349,0.0003351682,0.0003282281,0.0003360501],"domain_scores_gemma":[0.9993719,0.00006048099,0.0000822122,0.0002888909,0.00008197514,0.0001145051],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003773799,0.001212972,0.02984316,0.0006372661,0.0002120216,0.0002203786,0.004727327,0.05259517,0.006825481,0.2560776,0.01152684,0.636084],"study_design_scores_gemma":[0.000265675,0.00002415459,0.001608907,0.00007388865,0.000008619011,0.0002427065,0.0001295948,0.990215,0.0002630543,0.0008186392,0.006044631,0.0003051478],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02767804,0.0001974484,0.9534665,0.0004736014,0.00007888255,0.0001573967,0.000001525067,0.0002874729,0.0176591],"genre_scores_gemma":[0.9419135,0.000001210937,0.05746093,0.0001426959,0.0001598377,0.000003980183,0.00000154801,0.00001002435,0.0003063052],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9376198,"threshold_uncertainty_score":0.9998991,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03163664726186823,"score_gpt":0.2703395292272513,"score_spread":0.2387028819653831,"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."}}