{"id":"W2949160893","doi":"","title":"A double large prime variation for small genus hyperelliptic index calculus.","year":2004,"lang":"en","type":"preprint","venue":"IACR Cryptology ePrint Archive","topic":"Cryptography and Residue Arithmetic","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Prime (order theory); Logarithm; Genus; Variation (astronomy); Context (archaeology); Heuristic; Hyperelliptic curve cryptography; Mathematics; Algorithm; Discrete logarithm; Computer science; Combinatorics; Mathematical optimization; Mathematical analysis; Zoology","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":[0.001503733,0.0005800187,0.0007917046,0.001148015,0.0006628156,0.001811715,0.001108318,0.0004725537,0.004524223],"category_scores_gemma":[0.007431854,0.0002629388,0.0005752945,0.001112798,0.001737034,0.002364286,0.003206611,0.002202531,0.001465765],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006934504,"about_ca_system_score_gemma":0.0006952407,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002170915,"about_ca_topic_score_gemma":0.0003736567,"domain_scores_codex":[0.9985787,0.0003842895,0.00005908161,0.0002379799,0.0006387048,0.0001014003],"domain_scores_gemma":[0.9979699,0.0007526031,0.0001487795,0.0007475935,0.0002351864,0.0001458388],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0004398176,0.00009916611,0.002409988,0.0002595547,0.00005184189,0.0004166607,0.0003511843,0.0165005,0.02469555,0.5499334,0.008311328,0.3965309],"study_design_scores_gemma":[0.0001201167,0.0003702356,0.001622202,0.00007314814,0.00005472924,0.001194659,0.0001247262,0.2666152,0.0339445,0.6550796,0.04070376,0.0000971869],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0472216,0.0005342638,0.9410697,0.0004528016,0.0002483081,0.0001207355,0.00006872862,0.001286002,0.008997854],"genre_scores_gemma":[0.361857,0.0003719475,0.6303087,0.0002067542,0.0002832635,0.00008761223,0.000156943,0.0004168141,0.006310845],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004524223,"threshold_uncertainty_score":0.01513505,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02083633222881232,"score_gpt":0.2587462555160087,"score_spread":0.2379099232871963,"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."}}