{"id":"W2950813750","doi":"","title":"An Elliptic Curve Trapdoor System.","year":2003,"lang":"en","type":"preprint","venue":"IACR Cryptology ePrint Archive","topic":"Cryptography and Residue Arithmetic","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Hessian form of an elliptic curve; Jacobian curve; Key escrow; Hyperelliptic curve; Elliptic curve; Tripling-oriented Doche–Icart–Kohel curve; Hyperelliptic curve cryptography; Elliptic curve point multiplication; Discrete logarithm; Elliptic curve cryptography; Computer science; Curve25519; Elliptic Curve Digital Signature Algorithm; Key (lock); Public-key cryptography; Mathematics; Discrete mathematics; Pure mathematics; Computer security; Finite field; Encryption","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":[0.0007663004,0.0007757713,0.001044353,0.0007390059,0.0003364693,0.0003174095,0.003672589,0.0006613762,0.00004784434],"category_scores_gemma":[0.00005986367,0.0007355024,0.000619833,0.000419152,0.0006081478,0.0002209292,0.001618635,0.001911563,0.0003480177],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009836959,"about_ca_system_score_gemma":0.0003998139,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008886892,"about_ca_topic_score_gemma":0.00006433972,"domain_scores_codex":[0.9940866,0.001451411,0.0008689605,0.002085137,0.0004612987,0.001046549],"domain_scores_gemma":[0.9951895,0.0004106557,0.0004897318,0.003279382,0.0001498621,0.0004808965],"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":[0.00002065833,0.0002630649,0.00211311,0.0002782193,0.0002270412,0.0003178853,0.001938441,0.001174722,0.0004799038,0.9896486,0.0002490623,0.003289261],"study_design_scores_gemma":[0.0007107275,0.0002911215,0.0157507,0.000299319,0.0001285606,0.000578279,0.0003006263,0.02492481,0.001040422,0.9528403,0.001818479,0.00131667],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05242549,0.0007146095,0.9327263,0.0004990653,0.003038722,0.0008664652,0.00004726415,0.0007419993,0.008940066],"genre_scores_gemma":[0.3864549,0.000147885,0.6126155,0.0002389041,0.000202316,0.0002357032,0.00004885535,0.00005308176,0.000002812804],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3340294,"threshold_uncertainty_score":0.9995096,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01211389788846941,"score_gpt":0.253571463960746,"score_spread":0.2414575660722766,"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."}}