{"id":"W2075371926","doi":"10.1002/sec.164","title":"Enhancing identity trust in cryptographic key management systems for dynamic environments","year":2010,"lang":"en","type":"article","venue":"Security and Communication Networks","topic":"Cryptography and Data Security","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Collusion; Computer science; Key management; Key (lock); Computer security; Heuristic; Cryptography; Key distribution; The Internet; Access control; Encryption; Computer network; Public-key cryptography; World Wide Web","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00370585,0.0005569485,0.0009467843,0.0008582061,0.001302307,0.002187648,0.00177983,0.001137802,0.001640593],"category_scores_gemma":[0.01239555,0.0004162964,0.0003725196,0.001058954,0.00135357,0.005166236,0.004863075,0.001442031,0.0005786705],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001940368,"about_ca_system_score_gemma":0.00155263,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001148788,"about_ca_topic_score_gemma":0.0008207721,"domain_scores_codex":[0.9968963,0.001227526,0.0002545673,0.0003190834,0.0008058127,0.0004967193],"domain_scores_gemma":[0.9908165,0.003794791,0.001425403,0.002545168,0.0009864139,0.0004318135],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001999051,0.0006455192,0.005694251,0.0002781405,0.0001052587,0.0005695622,0.000962052,0.4532028,0.04496177,0.1378386,0.003764081,0.349979],"study_design_scores_gemma":[0.00006419796,0.0001370628,0.0002788574,0.00001127387,0.00001843461,0.0001474709,0.0001001089,0.9616096,0.0139582,0.02152638,0.002123898,0.00002447376],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1688593,0.0003154944,0.8256469,0.0004903736,0.00005298722,0.0001679639,0.00003184123,0.001335568,0.003099549],"genre_scores_gemma":[0.9144464,0.00006506019,0.08459532,0.00003507589,0.00001421653,0.00003334377,0.00002955937,0.00002804453,0.0007530082],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00370585,"threshold_uncertainty_score":0.0195986,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00574118533029021,"score_gpt":0.2318939782326514,"score_spread":0.2261527929023611,"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."}}