{"id":"W316013059","doi":"10.1007/978-1-4419-5906-5_255","title":"NIST Elliptic Curves","year":2011,"lang":"en","type":"article","venue":"","topic":"Cryptography and Residue Arithmetic","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"NIST; Mathematics; Computer science; Natural language processing","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":[0.00007995353,0.00005130738,0.00005300571,0.00004760783,0.00005258658,0.00002499171,0.0004656339,0.00001703808,0.0001869179],"category_scores_gemma":[0.000005142611,0.00003753593,0.000046352,0.0002470058,0.00003949042,0.0001588969,0.00008217868,0.00004172252,0.0002072513],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000001856284,"about_ca_system_score_gemma":0.00001093794,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000046495,"about_ca_topic_score_gemma":0.000007468134,"domain_scores_codex":[0.9995437,0.00001584133,0.00007514873,0.0001459224,0.00009010949,0.0001292719],"domain_scores_gemma":[0.9995778,0.00001644586,0.000015515,0.0003191902,0.00001937383,0.000051695],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00000120024,0.0001113291,0.003556805,0.00003489918,0.00001589942,0.00002416421,0.0005231918,3.142686e-7,0.0001555115,0.9730937,0.007042306,0.01544066],"study_design_scores_gemma":[0.001377143,0.0008893327,0.4586716,0.0004515851,0.00007111301,0.0003006588,0.0002073275,0.01232038,0.07440739,0.379519,0.06968092,0.00210355],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004816085,0.001531246,0.6870493,0.0006735718,0.0003337591,0.0000952154,2.501046e-7,0.0003489116,0.3051517],"genre_scores_gemma":[0.8815011,0.0002674628,0.115578,0.001396691,0.00002225157,0.000006105075,3.003769e-7,0.000004083276,0.001223971],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.876685,"threshold_uncertainty_score":0.2663865,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03137930447318382,"score_gpt":0.1946434767699912,"score_spread":0.1632641722968074,"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."}}