{"id":"W3146510765","doi":"10.1109/fdtc.2007.19","title":"Fault Detection Structures for the Montgomery Multiplication over Binary Extension Fields","year":2007,"lang":"en","type":"article","venue":"","topic":"Cryptography and Residue Arithmetic","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Computer science; Error detection and correction; Binary number; Multiplication (music); Arithmetic; Finite field; Redundancy (engineering); Finite field arithmetic; Cryptography; Multiplier (economics); Algorithm; Parallel computing; Theoretical computer science; Mathematics; Discrete mathematics","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":[0.0002591015,0.00007305526,0.00005373586,0.00009022011,0.0002618104,0.00005497774,0.0002743343,0.00007492537,0.000006028734],"category_scores_gemma":[0.00003010291,0.00004304285,0.00008158621,0.0002777548,0.00002884792,0.0001637687,0.00006206527,0.00008119723,0.000002348938],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008933282,"about_ca_system_score_gemma":0.000006428202,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001079355,"about_ca_topic_score_gemma":0.0001600148,"domain_scores_codex":[0.9993613,0.00001210301,0.0001256878,0.000213519,0.0001279216,0.0001594187],"domain_scores_gemma":[0.9991344,0.0003463585,0.00004289152,0.0003804564,0.00006294877,0.00003295759],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00005184086,0.00004678964,0.0003638437,0.00001271778,0.00002506263,0.000002306261,0.0003775436,0.001016373,0.04508671,0.02457616,0.001051656,0.927389],"study_design_scores_gemma":[0.0005779585,0.0001908401,0.5758067,0.00000728126,0.00001832801,0.00001970615,0.0001340107,0.3167948,0.07718454,0.02198943,0.007048252,0.0002281598],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1182585,0.0002381367,0.8801604,0.0004946846,0.0003644461,0.0002465232,3.568332e-7,0.00009556009,0.0001413855],"genre_scores_gemma":[0.9807259,0.00002718124,0.01865402,0.0004038566,0.00008690082,0.00001532239,7.818079e-7,0.000003909956,0.00008207042],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9271609,"threshold_uncertainty_score":0.2013661,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0131075576487756,"score_gpt":0.2621350943315783,"score_spread":0.2490275366828027,"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."}}