{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004791107,0.000641321,0.0009686545,0.001067586,0.00119745,0.002493175,0.001836661,0.001230491,0.001047617],"category_scores_gemma":[0.01527667,0.0006011976,0.0008473647,0.001390718,0.002067338,0.004519394,0.002223555,0.00161916,0.0002751206],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002185493,"about_ca_system_score_gemma":0.001394279,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004099378,"about_ca_topic_score_gemma":0.00321322,"domain_scores_codex":[0.9932307,0.002997877,0.0004182975,0.0009769604,0.002035918,0.000340212],"domain_scores_gemma":[0.9917207,0.004157511,0.001207836,0.001180319,0.001448947,0.000284694],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001523552,0.0000926247,0.003749439,0.0003843821,0.0002579271,0.0004637562,0.001023782,0.4156228,0.003356507,0.4319066,0.002680164,0.1403097],"study_design_scores_gemma":[0.00002523821,0.00009101864,0.0007113395,0.00003699223,0.00006281954,0.00021973,0.0001691924,0.7698868,0.001045434,0.2212595,0.006438902,0.00005307976],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01286048,0.0009997367,0.9820988,0.0008530017,0.0000744386,0.00005864552,0.00002752346,0.0001842496,0.002843076],"genre_scores_gemma":[0.8501035,0.001060646,0.1455393,0.0001858777,0.0002081166,0.0001651253,0.00005804691,0.0000392592,0.002640078],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004791107,"threshold_uncertainty_score":0.02533811,"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."}}