{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006446296,0.0006172328,0.0008575928,0.0006640134,0.0003479974,0.0002225309,0.002185212,0.0005522723,0.0000171205],"category_scores_gemma":[0.00008931917,0.000609729,0.0006542833,0.0003621893,0.0003312474,0.0001154508,0.002950071,0.001286086,0.0001106658],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001536499,"about_ca_system_score_gemma":0.0007324928,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004446567,"about_ca_topic_score_gemma":0.0006575501,"domain_scores_codex":[0.9959502,0.0002406052,0.0007338955,0.001679949,0.00030879,0.001086544],"domain_scores_gemma":[0.9967583,0.0004607937,0.0005697202,0.001740274,0.0002044635,0.0002664039],"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":[0.0001609208,0.0003940292,0.001294869,0.0001899236,0.0003326677,0.00006302352,0.003784447,0.004694772,0.0002880463,0.9836485,0.00003967211,0.005109114],"study_design_scores_gemma":[0.00275267,0.0001947934,0.03165515,0.0001269918,0.0001128807,0.00008656726,0.00003342045,0.04318081,0.0006698745,0.9183242,0.002087129,0.0007754582],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05427494,0.0003107579,0.939275,0.00144431,0.001641751,0.001834835,0.00007510063,0.0003725391,0.0007708223],"genre_scores_gemma":[0.3578525,0.0001001621,0.6405911,0.0003375241,0.0002866017,0.0006772987,0.00009665304,0.00005261263,0.000005507954],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3035776,"threshold_uncertainty_score":0.9996354,"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."}}