{"id":"W1970967038","doi":"10.1109/milcom.2006.302051","title":"Situation Monitoring and Analysis of Security Risk for Networked Services","year":2006,"lang":"en","type":"article","venue":"","topic":"Information and Cyber Security","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Computer security; National security; Agency (philosophy); Situation awareness; Key (lock); Computer science; Service (business); Prioritization; Situation analysis; Action (physics); Situational ethics; Process management; Risk analysis (engineering); Knowledge management; Engineering management; Business; Engineering; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001452639,0.0005661414,0.0004481165,0.00227139,0.0005960637,0.002068774,0.000563144,0.0005959328,0.001907323],"category_scores_gemma":[0.008680827,0.0002591785,0.0005668665,0.001191524,0.0007089225,0.002737776,0.001296634,0.0006408722,0.0002067047],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001527873,"about_ca_system_score_gemma":0.0009626091,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007627845,"about_ca_topic_score_gemma":0.003526212,"domain_scores_codex":[0.9984142,0.0006706982,0.00008750596,0.0002268042,0.0004780067,0.0001229024],"domain_scores_gemma":[0.9976532,0.001236628,0.0005816277,0.0001956162,0.0002444559,0.00008849849],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004842809,0.0002365573,0.04063406,0.0001521788,0.0002376071,0.0005168105,0.001819928,0.6674399,0.003568428,0.1215318,0.001883656,0.1614948],"study_design_scores_gemma":[0.000009965018,0.00007768973,0.005184275,0.00002180707,0.00004656747,0.000136933,0.0004590348,0.9528828,0.001191032,0.03854641,0.001415731,0.00002780784],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4062881,0.0005572065,0.5753708,0.0009853051,0.00004136347,0.0001829611,0.0004101955,0.0007412314,0.01542285],"genre_scores_gemma":[0.9726793,0.0001768721,0.02616437,0.00001424683,0.00001413459,0.00003920093,0.0001313168,0.00001471779,0.0007658759],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007627845,"threshold_uncertainty_score":0.01516688,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00633638858235133,"score_gpt":0.2303098551336464,"score_spread":0.223973466551295,"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."}}