{"id":"W7124166406","doi":"10.65109/kcyo5207","title":"Modeling agent trustworthiness with credibility for message recommendation in social networks","year":2014,"lang":"","type":"article","venue":"","topic":"Access Control and Trust","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Credibility; Trustworthiness; Social network (sociolinguistics); Recommender system; Multi-agent system; User modeling","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":[0.00508354,0.0009331212,0.001093406,0.001381375,0.0009956046,0.002167817,0.001993266,0.0021747,0.001907824],"category_scores_gemma":[0.03578128,0.0007548281,0.001051644,0.001005044,0.001640664,0.004914037,0.001583279,0.002094911,0.0003485925],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002454451,"about_ca_system_score_gemma":0.001220789,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01274124,"about_ca_topic_score_gemma":0.008686224,"domain_scores_codex":[0.9965487,0.001824005,0.0002001784,0.0004866825,0.0007105756,0.000229895],"domain_scores_gemma":[0.9798492,0.01545005,0.002207541,0.0008495059,0.001134715,0.0005090593],"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":[0.00008764482,0.00005334881,0.001839655,0.00004742734,0.00006643801,0.0001338683,0.0002785626,0.926357,0.0005142845,0.06095113,0.0004548135,0.009215876],"study_design_scores_gemma":[0.000007534095,0.00001375872,0.0001030457,0.000004137271,0.00001015234,0.00001238377,0.00001196693,0.9855103,0.00007441426,0.01406041,0.0001855336,0.000006356972],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05296557,0.0003386635,0.9412485,0.0009214467,0.00007039613,0.00007895625,0.00007114068,0.0001652227,0.004140077],"genre_scores_gemma":[0.932676,0.0002624071,0.06371674,0.00007306573,0.000124029,0.0001199456,0.00006485185,0.00004590447,0.002917023],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01274124,"threshold_uncertainty_score":0.02688468,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03872591418645687,"score_gpt":0.3161129524229193,"score_spread":0.2773870382364624,"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."}}