{"id":"W4312287159","doi":"10.1007/978-3-031-15982-4_10","title":"Accelerating the Delfs–Galbraith Algorithm with Fast Subfield Root Detection","year":2022,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Cryptography and Residue Arithmetic","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Isogeny; Mathematics; Supersingular elliptic curve; Elliptic curve; Algorithm; Elliptic curve cryptography; Discrete mathematics; Arithmetic; Computer science; Pure mathematics; Public-key cryptography","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008553989,0.0004981896,0.0003727239,0.0006701556,0.001248497,0.0009105302,0.003470358,0.0001900175,0.00005600145],"category_scores_gemma":[0.00003101826,0.0003296092,0.000150184,0.001356794,0.0006550301,0.0006377565,0.0014311,0.001567246,0.000008091196],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001568784,"about_ca_system_score_gemma":0.0003701605,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001176095,"about_ca_topic_score_gemma":0.0008236386,"domain_scores_codex":[0.9962409,0.00007320994,0.0003971785,0.001377783,0.001253769,0.0006571795],"domain_scores_gemma":[0.9974792,0.0005936114,0.0002832254,0.00135532,0.0001640215,0.0001245981],"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":[0.000004848499,0.00001966205,0.00006007822,0.00001239608,0.00001854464,0.00008462914,0.0008592932,0.01973005,0.00004634652,0.006812988,0.000005161558,0.972346],"study_design_scores_gemma":[0.0005747143,0.001028762,0.00108252,0.0002615915,0.00003405279,0.0007753345,0.000003287666,0.9272463,0.003309327,0.05943454,0.00484916,0.001400451],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0002239223,0.0003914589,0.9938834,0.0009686702,0.001266856,0.0004468969,0.000003485258,0.0001768581,0.00263844],"genre_scores_gemma":[0.4264969,0.00005592805,0.569886,0.002222722,0.0009159318,0.00007468013,0.000005903555,0.00007658455,0.0002653987],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9709455,"threshold_uncertainty_score":0.9999156,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01139558803246537,"score_gpt":0.212204172597849,"score_spread":0.2008085845653836,"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."}}