{"id":"W1919735932","doi":"10.1109/tricom.1991.152879","title":"A communication protocol for a multi-level secure network","year":2002,"lang":"en","type":"article","venue":"","topic":"Security and Verification in Computing","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Computer science; Protocol (science); Context (archaeology); Cryptographic protocol; Communications protocol; Argument (complex analysis); Kernel (algebra); Computer security; Software; Computer security model; Theoretical computer science; Computer network; Cryptography; Programming language; Mathematics; Discrete mathematics","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":[0.0002813196,0.00007808628,0.00007750704,0.00002567984,0.0002961009,0.0001449167,0.0008740735,0.0000523259,0.00006631402],"category_scores_gemma":[0.00003814503,0.00007228217,0.00004703977,0.0002460939,0.00002048963,0.0002416346,0.0001593042,0.00008562375,0.0000527977],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001955119,"about_ca_system_score_gemma":0.00001147599,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005829529,"about_ca_topic_score_gemma":0.000009871176,"domain_scores_codex":[0.9992502,0.0000551462,0.0001945688,0.0002114927,0.00009720887,0.0001913435],"domain_scores_gemma":[0.9989749,0.0001352915,0.00009079585,0.0006471832,0.0001073426,0.00004449044],"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":[0.000006156817,0.0003210134,0.0001861251,0.00005353594,0.00001417583,3.530105e-7,0.002355467,0.0006481311,0.00001786762,0.8103758,0.107816,0.07820539],"study_design_scores_gemma":[0.0006118197,0.00002518473,0.0002660731,0.0000214307,7.595298e-7,0.000003161424,0.00001039295,0.8518476,0.00007490516,0.002686493,0.1443558,0.00009635396],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.000007637355,0.00001155862,0.9500739,0.001311884,0.00005195309,0.04584067,6.769537e-7,0.000231373,0.002470351],"genre_scores_gemma":[0.006535648,8.08808e-7,0.8441987,0.0007447732,0.00008327975,0.1477236,0.000001303137,0.000005829377,0.0007060315],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8511995,"threshold_uncertainty_score":0.2947581,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2661555170408676,"score_gpt":0.3705606694862356,"score_spread":0.104405152445368,"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."}}