{"id":"W4322743007","doi":"10.3390/math11051203","title":"Acceleration of Wheel Factoring Techniques","year":2023,"lang":"en","type":"article","venue":"Mathematics","topic":"Quantum Computing Algorithms and Architecture","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"King Saud University","keywords":"Factoring; Integer factorization; Cryptosystem; Computer science; Factorization; Prime number; Polynomial; Prime (order theory); Set (abstract data type); Integer (computer science); Key (lock); Acceleration; Prime factor; Factorization of polynomials; Time complexity; Theoretical computer science; Algorithm; Public-key cryptography; Parallel computing; Discrete mathematics; Mathematics; Cryptography; Combinatorics; Encryption; Matrix polynomial; Computer security; Operating system","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":[0.0004471157,0.0006516352,0.0006021966,0.0009512542,0.0004912374,0.0006896595,0.0007434744,0.0004281986,0.01008567],"category_scores_gemma":[0.001772682,0.0001972085,0.0007313953,0.001042391,0.0005135961,0.001978343,0.0008406843,0.0007615653,0.003050522],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005263594,"about_ca_system_score_gemma":0.0007683251,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002496597,"about_ca_topic_score_gemma":0.002263006,"domain_scores_codex":[0.9993061,0.00009183133,0.00003479297,0.0001298866,0.0003096179,0.0001278107],"domain_scores_gemma":[0.9992404,0.0001891118,0.00006163953,0.0003031034,0.0001738579,0.00003189502],"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":[0.000627647,0.0002072614,0.002135745,0.0002850866,0.00005630647,0.0001795801,0.000201507,0.04580934,0.1039789,0.0830007,0.007110637,0.7564072],"study_design_scores_gemma":[0.0001830345,0.0006490927,0.002531411,0.0001025196,0.00009748361,0.000870246,0.0001850641,0.6945685,0.1376554,0.07063778,0.09241831,0.0001011949],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05489167,0.0007653635,0.9271876,0.00015852,0.0001509562,0.0001342393,0.0001174755,0.003906955,0.01268719],"genre_scores_gemma":[0.3501875,0.0006818823,0.6409906,0.00007236471,0.00006879598,0.00009123284,0.0003245847,0.0002935873,0.007289449],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01008567,"threshold_uncertainty_score":0.03373992,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02659984709971022,"score_gpt":0.269178844968756,"score_spread":0.2425789978690458,"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."}}