{"id":"W1862624742","doi":"10.1109/icassp.1979.1170664","title":"Hardware implementation of convolution using number theoretic transforms","year":2005,"lang":"en","type":"article","venue":"","topic":"Cryptography and Residue Arithmetic","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Computer science; Flexibility (engineering); Field (mathematics); Gaussian; Binary number; Algorithm; Arithmetic; Discrete mathematics; Mathematics; Pure mathematics; Statistics; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000430308,0.0004181423,0.0004180594,0.0005653802,0.0003553602,0.001126737,0.0009427992,0.0004165852,0.006611972],"category_scores_gemma":[0.001306156,0.0001987004,0.0004462545,0.0005878617,0.0004102257,0.001048503,0.0005212929,0.0004891941,0.002068112],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006090112,"about_ca_system_score_gemma":0.0007387284,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006959312,"about_ca_topic_score_gemma":0.0008242107,"domain_scores_codex":[0.9996173,0.00006960978,0.00003970871,0.00006041398,0.0001470128,0.00006589767],"domain_scores_gemma":[0.9996389,0.000116154,0.00003296024,0.0001118359,0.00007891143,0.00002121911],"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":[0.0008889636,0.0001672893,0.001324598,0.0003585592,0.00006995144,0.0006238552,0.0003245246,0.03627265,0.1962853,0.1320829,0.007876243,0.6237254],"study_design_scores_gemma":[0.0001972738,0.0009599299,0.001689891,0.0001035587,0.0001049026,0.001845839,0.0001219695,0.4561109,0.4455522,0.03040143,0.06281434,0.00009779177],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.065097,0.0003466523,0.9063109,0.0002035744,0.0001602668,0.00008747465,0.0001087484,0.007545729,0.02013965],"genre_scores_gemma":[0.5314919,0.0002848608,0.4598761,0.0001485765,0.00009992919,0.00008623616,0.0002981891,0.0001556906,0.007558522],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006611972,"threshold_uncertainty_score":0.02211922,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01221873854693615,"score_gpt":0.2881097124479015,"score_spread":0.2758909739009653,"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."}}