{"id":"W1722893958","doi":"10.1002/sec.1143","title":"Conference key establishment protocol using a multivariate polynomial and its applications","year":2014,"lang":"en","type":"article","venue":"Security and Communication Networks","topic":"Security in Wireless Sensor Networks","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Polynomial; Key (lock); Protocol (science); Overhead (engineering); Theoretical computer science; Key exchange; Secret sharing; Public-key cryptography; Computer network; Cryptography; Algorithm; Computer security; Mathematics; Operating system; 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":[],"consensus_categories":[],"category_scores_codex":[0.0006098318,0.0002100853,0.0002359221,0.00006952814,0.0005871144,0.0004907422,0.0009897166,0.0001897234,0.000007390826],"category_scores_gemma":[0.00003714752,0.0002222141,0.00003350354,0.0002979157,0.0001484689,0.0005790012,0.0009656782,0.0004704342,0.000003169967],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003590429,"about_ca_system_score_gemma":0.00003625078,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001082961,"about_ca_topic_score_gemma":0.00007152159,"domain_scores_codex":[0.9982594,0.0004504752,0.0003530527,0.0004358943,0.00017929,0.000321845],"domain_scores_gemma":[0.9979252,0.0003860797,0.000235017,0.001107189,0.0001699959,0.0001765407],"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":[0.00006894819,0.0004055534,0.0004431198,0.000137628,0.0000657418,0.000001181387,0.0084684,0.007905756,0.0002795913,0.8787012,0.0004653956,0.1030575],"study_design_scores_gemma":[0.0006452071,0.00003610059,0.000214334,0.00007379931,0.00001015817,0.00001608435,0.00005948222,0.9734083,0.00006044584,0.006575546,0.01864913,0.0002513777],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01333722,0.001103315,0.9508355,0.002063671,0.0001282633,0.0291403,0.00000582217,0.0004328643,0.00295309],"genre_scores_gemma":[0.976603,0.0002403355,0.01388018,0.00034448,0.000123681,0.008774242,0.00001074635,0.00001359491,0.000009785925],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9655026,"threshold_uncertainty_score":0.906163,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02154224908371008,"score_gpt":0.2765094468599464,"score_spread":0.2549671977762363,"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."}}