{"id":"W2130719936","doi":"10.1109/euc.2008.149","title":"Probabilistic Trust Management in Pervasive Computing","year":2008,"lang":"en","type":"article","venue":"","topic":"Access Control and Trust","field":"Social Sciences","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Probabilistic logic; Computer science; Trust management (information system); Weighting; Ubiquitous computing; Scheme (mathematics); Distributed computing; Data mining; Computer security; Artificial intelligence; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001987147,0.00004942817,0.00008385075,0.0000453492,0.0003117332,0.00002247793,0.0001542979,0.00002725064,0.0002727211],"category_scores_gemma":[0.00004668903,0.00004308438,0.00002569743,0.0002065715,0.0001310809,0.00009839472,0.0000409194,0.00005206727,0.00007199083],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006133784,"about_ca_system_score_gemma":0.00003919258,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002265341,"about_ca_topic_score_gemma":0.002903354,"domain_scores_codex":[0.9993072,0.00005090228,0.0001141573,0.0001347569,0.0001779767,0.0002150503],"domain_scores_gemma":[0.9997835,0.0000538428,0.00002411346,0.00006831957,0.00002509207,0.00004512491],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00001625213,0.0001895853,0.1548175,0.00002288657,0.00002857131,0.0002671247,0.01997737,0.0004099131,0.00000151143,0.7474031,0.001351845,0.07551432],"study_design_scores_gemma":[0.001863192,0.00003925029,0.9077082,0.00003562097,0.00002147849,0.000005229812,0.02054825,0.005301313,0.000006094227,0.01379415,0.05023314,0.0004440892],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3644002,0.00003217529,0.0003091246,0.0009892834,0.00008783944,0.0002567918,2.291943e-7,0.00007005539,0.6338543],"genre_scores_gemma":[0.9934132,0.00003618288,0.0005794286,0.0002374668,0.00008245402,0.000007547282,5.37396e-7,0.000003077526,0.005640157],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7528907,"threshold_uncertainty_score":0.3424532,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03302330855441828,"score_gpt":0.2990848013455227,"score_spread":0.2660614927911044,"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."}}