{"id":"W2121931710","doi":"10.1109/aina.2008.147","title":"Performance Evaluation of Trust Management in Pervasive Computing","year":2008,"lang":"en","type":"article","venue":"","topic":"Access Control and Trust","field":"Social Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Computer science; Ubiquitous computing; Trust management (information system); Context-aware pervasive systems; Overhead (engineering); Computer security; Distributed computing; Trusted Computing; Network packet; Computer network; Human–computer interaction","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":[0.006774453,0.0007229552,0.00114235,0.001044145,0.001056821,0.001759763,0.001140767,0.0009167888,0.0008932303],"category_scores_gemma":[0.03191298,0.0002103292,0.0002755913,0.001319888,0.0007344983,0.001890198,0.001551842,0.0007040174,0.0002299185],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002741536,"about_ca_system_score_gemma":0.001713137,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005306778,"about_ca_topic_score_gemma":0.002526703,"domain_scores_codex":[0.9927763,0.003348522,0.0004871674,0.0006235924,0.002022266,0.0007423129],"domain_scores_gemma":[0.9746066,0.01376395,0.002351503,0.002874688,0.004803556,0.001599623],"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":[0.005104805,0.001233415,0.03566405,0.0004709272,0.0003692284,0.0004446021,0.0007199776,0.6661739,0.02268551,0.01179449,0.002273542,0.2530655],"study_design_scores_gemma":[0.00006591064,0.0009819979,0.003638814,0.0000147378,0.0000639823,0.0001302173,0.0001879841,0.9843614,0.007608139,0.002274781,0.0006469031,0.0000250711],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8753319,0.001643027,0.1120142,0.0005783071,0.0001334159,0.0003245706,0.0001206071,0.001435662,0.008418284],"genre_scores_gemma":[0.993866,0.00007664167,0.005741173,0.00001057524,0.000006761658,0.00002129302,0.00003847608,0.00001228485,0.0002268112],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006774453,"threshold_uncertainty_score":0.03582716,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0645226158827748,"score_gpt":0.3398320929639196,"score_spread":0.2753094770811448,"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."}}