{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001902741,0.00006340371,0.0001045619,0.00009653397,0.00004802972,0.00004876758,0.0003541682,0.00002795717,0.000002378301],"category_scores_gemma":[0.00003551875,0.00005216424,0.0000346079,0.0003640168,0.00001168945,0.00008075782,0.0001714469,0.00005993255,0.0000197738],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006457602,"about_ca_system_score_gemma":0.00001514327,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002200435,"about_ca_topic_score_gemma":2.253006e-7,"domain_scores_codex":[0.9994383,0.000008960369,0.0001665461,0.0001064931,0.0001617865,0.0001178532],"domain_scores_gemma":[0.9995096,0.00008140587,0.00007503533,0.0002783872,0.00003435828,0.00002118158],"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":[0.00000134779,0.0002583488,0.0003149891,0.0008407125,0.00005195554,0.00002675583,0.04692732,0.003743822,0.06956629,0.2707033,0.002302472,0.6052627],"study_design_scores_gemma":[0.00004241493,0.00003634529,0.0003483926,0.00007601002,0.000001927525,0.000005921012,0.00003608263,0.9022154,0.067091,0.02892185,0.001125564,0.00009904699],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.19911,0.000008263167,0.7989362,0.0002994412,0.000119239,0.00008557505,9.700447e-7,0.0006377386,0.0008025278],"genre_scores_gemma":[0.5289788,0.000005918001,0.4707724,0.00002458494,0.00005960234,0.000005373406,0.000001210036,0.000008807572,0.0001433431],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8984717,"threshold_uncertainty_score":0.2127196,"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."}}