{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001001317,0.0001494132,0.0001751358,0.0001703462,0.000337243,0.0003156236,0.001231336,0.0001438208,0.000003915773],"category_scores_gemma":[0.00001017883,0.000165524,0.00006658715,0.0003574528,0.0001226179,0.0009415468,0.0006428718,0.000457693,0.000001985071],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001704461,"about_ca_system_score_gemma":0.000006487715,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009569324,"about_ca_topic_score_gemma":0.002167577,"domain_scores_codex":[0.9987338,0.0001336545,0.0003329727,0.0003553436,0.0001646068,0.000279594],"domain_scores_gemma":[0.9983053,0.0001367003,0.0001327937,0.001320035,0.00001924824,0.00008595373],"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":[0.00001508,0.0001964658,0.002313159,0.00007318708,0.00003036495,0.000001416924,0.001320702,0.0001735823,0.00007880961,0.9906492,0.0000599113,0.005088109],"study_design_scores_gemma":[0.001344068,0.00005725215,0.03491465,0.0001483284,0.00003029648,0.00001093684,0.0005363949,0.7448781,0.00002010115,0.1946499,0.02289507,0.000514941],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1331919,0.004187187,0.8605884,0.000260382,0.0004284131,0.0007428382,0.00001005629,0.00008438029,0.0005064936],"genre_scores_gemma":[0.9788524,0.006230146,0.01458275,0.00008910021,0.00002013625,0.0001527406,0.00006080617,0.000007612334,0.000004324125],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8460056,"threshold_uncertainty_score":0.6749875,"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."}}