{"id":"W651011035","doi":"10.1007/978-3-319-17957-5_11","title":"A Trust Certificate Model for Multi-agent Systems","year":2015,"lang":"en","type":"book-chapter","venue":"Lecture notes in business information processing","topic":"Access Control and Trust","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Reputation; Computer science; Certificate; Computational trust; Context (archaeology); Process (computing); Scarcity; Selection (genetic algorithm); Computer security; Risk analysis (engineering); Business; Artificial intelligence; Microeconomics; Economics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007483533,0.0003802853,0.0005087617,0.0004223227,0.0005531613,0.0007749352,0.0004347801,0.000736389,0.00002681491],"category_scores_gemma":[0.0008131482,0.0003428474,0.00008630932,0.0002295436,0.0001896982,0.002085862,0.0000561259,0.0003406178,0.00003850287],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000469402,"about_ca_system_score_gemma":0.001160817,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002648841,"about_ca_topic_score_gemma":0.0005389086,"domain_scores_codex":[0.9978084,0.00002048712,0.0008377614,0.0002647324,0.0006344301,0.0004342037],"domain_scores_gemma":[0.9970611,0.00008080905,0.0008270488,0.0002162539,0.001699094,0.0001156832],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001855959,0.0000403779,0.00006596556,0.002190612,0.00004669893,0.000002849661,0.02112682,0.4044186,0.000002319799,0.06467243,0.000338227,0.5069094],"study_design_scores_gemma":[0.0008859454,0.00000630974,0.00001585062,0.0006125313,0.00006158623,0.000001442299,0.0001336635,0.8222952,0.000002162521,0.0123133,0.1631382,0.000533802],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00001054041,0.002117002,0.9349334,0.0009182549,0.0006833728,0.001309262,0.00008091493,0.0001801342,0.05976716],"genre_scores_gemma":[0.9586363,0.000352129,0.01088734,0.0009299353,0.001238039,0.00055309,0.0007748046,0.0001384308,0.02648996],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9586257,"threshold_uncertainty_score":0.9999024,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1725773334509384,"score_gpt":0.3393292483660505,"score_spread":0.1667519149151121,"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."}}