{"id":"W2273410534","doi":"10.5555/2615731.2617504","title":"Modeling agent trustworthiness with credibility for message recommendation in social networks","year":2014,"lang":"en","type":"article","venue":"Adaptive Agents and Multi-Agents Systems","topic":"Access Control and Trust","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Credibility; Computer science; Trustworthiness; Recommender system; Similarity (geometry); Source credibility; Multi-agent system; World Wide Web; Internet privacy; Artificial intelligence","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":[0.005363431,0.00102221,0.001161674,0.001498282,0.001031981,0.002206288,0.002198275,0.002404115,0.001957432],"category_scores_gemma":[0.03981044,0.0008163541,0.001106729,0.001061565,0.001805004,0.005225908,0.00169632,0.002202455,0.0003675507],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002636191,"about_ca_system_score_gemma":0.001240631,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01304702,"about_ca_topic_score_gemma":0.008598179,"domain_scores_codex":[0.9963143,0.001892117,0.0002132239,0.0005521658,0.0007861945,0.0002420786],"domain_scores_gemma":[0.9777439,0.01710873,0.00243993,0.0009044639,0.001264334,0.0005385472],"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":[0.00008371412,0.00004944859,0.001793187,0.00004949318,0.00006453619,0.0001432216,0.0002764454,0.9272056,0.0005072789,0.06054783,0.0004448778,0.008834412],"study_design_scores_gemma":[0.000007078954,0.00001344475,0.0001050489,0.000004315688,0.000009921763,0.00001331889,0.00001247967,0.9853801,0.0000745959,0.01419595,0.0001770331,0.000006685939],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04894862,0.0003493656,0.9455781,0.0008768437,0.00007148987,0.00007915713,0.00006881267,0.0001624868,0.00386517],"genre_scores_gemma":[0.933852,0.0002926457,0.0622633,0.00007514594,0.0001373653,0.0001303022,0.00006770877,0.00005123311,0.003130414],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01304702,"threshold_uncertainty_score":0.0283649,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09187409978039231,"score_gpt":0.3414822652082259,"score_spread":0.2496081654278336,"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."}}