{"id":"W3202160978","doi":"","title":"Faster key compression for isogeny-based cryptosystems","year":2017,"lang":"en","type":"preprint","venue":"University of Washington Tacoma Digital Commons (University of Washington Tacoma)","topic":"Cryptography and Residue Arithmetic","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Isogeny; Key (lock); Cryptosystem; Cryptography; Elliptic curve cryptography; Compression (physics); Overhead (engineering); Theoretical computer science; Key encapsulation; Public-key cryptography; Computer engineering; Computer security; Key exchange; Mathematics; Elliptic curve; Encryption; Operating system","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","sts","open_science"],"consensus_categories":[],"category_scores_codex":[0.0006341761,0.0008807011,0.001726781,0.001359773,0.001738688,0.0007496544,0.009707921,0.0009787229,0.00003480205],"category_scores_gemma":[0.0001093549,0.001143186,0.00181061,0.0004928205,0.001142605,0.002472252,0.005847434,0.001150946,0.00002093081],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002376749,"about_ca_system_score_gemma":0.0005508655,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001454824,"about_ca_topic_score_gemma":0.0005689783,"domain_scores_codex":[0.9955247,0.0002860879,0.0006082343,0.00157704,0.001115889,0.0008880142],"domain_scores_gemma":[0.9920692,0.0007174113,0.002490576,0.003386906,0.0008244531,0.0005114315],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.01185109,0.02074619,0.1376204,0.03565647,0.01389528,0.003607809,0.08477406,0.03267295,0.02731663,0.2325089,0.2142711,0.1850792],"study_design_scores_gemma":[0.03723814,0.005151664,0.05307344,0.02014261,0.003324736,0.0001302256,0.02701637,0.3981216,0.01274543,0.05137293,0.3781127,0.01357014],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4859464,0.0004447807,0.4919611,0.00314804,0.001280819,0.001869714,0.002251306,0.0006258995,0.01247188],"genre_scores_gemma":[0.9632846,0.00005570832,0.03505774,0.00003854747,0.00006501391,5.538437e-7,0.0004341207,0.00006084416,0.001002843],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4773382,"threshold_uncertainty_score":0.9995609,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02074399333170616,"score_gpt":0.215596804630432,"score_spread":0.1948528112987258,"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."}}