{"id":"W2105662271","doi":"10.1109/fuzzy.2009.5277061","title":"Fuzzy approach for the evaluation of trust and reputation of services","year":2009,"lang":"en","type":"article","venue":"","topic":"Access Control and Trust","field":"Social Sciences","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Reputation; Computer science; Fuzzy logic; Service provider; Robustness (evolution); Deception; Fuzzy set; Service (business); Trust management (information system); Computational trust; Knowledge management; Computer security; Business; Artificial intelligence; Marketing","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":[0.001160642,0.00002236251,0.00005400366,0.00001444524,0.0001055952,0.00001431921,0.00006490239,0.00002373512,0.00001330097],"category_scores_gemma":[0.00005672672,0.00001365042,0.00001774643,0.00007491163,0.00004720553,0.0001254329,0.000003468778,0.00001076129,8.825771e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005452374,"about_ca_system_score_gemma":0.00002999182,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006737453,"about_ca_topic_score_gemma":0.0002307007,"domain_scores_codex":[0.9995338,0.00004793706,0.00009181842,0.00005586779,0.0002239877,0.00004656443],"domain_scores_gemma":[0.9995825,0.00008031089,0.0000792592,0.00004704183,0.0002008185,0.00001002743],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00005413586,0.00007527389,0.004759532,0.00003801241,0.00002735696,8.623339e-9,0.01567331,0.0008662094,0.0002488008,0.2618827,0.00005269518,0.716322],"study_design_scores_gemma":[0.002597202,0.0002145932,0.4373976,0.00001554639,0.0003977004,2.559987e-7,0.07510348,0.2718027,0.0007615149,0.2105735,0.0009711336,0.0001647616],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.658165,0.0009945297,0.007599898,0.002556608,0.00005987511,0.001261886,0.000004780083,0.00002105195,0.3293364],"genre_scores_gemma":[0.9989716,0.00002141083,0.000791696,0.00005469526,0.0000381877,0.00001072903,0.000002371926,8.302835e-7,0.0001084204],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7161573,"threshold_uncertainty_score":0.1018506,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05035309300694316,"score_gpt":0.3619854023577732,"score_spread":0.31163230935083,"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."}}