{"id":"W2022437281","doi":"10.3390/axioms3010050","title":"A Hybrid Artificial Reputation Model Involving Interaction Trust, Witness Information and the Trust Model to Calculate the Trust Value of Service Providers","year":2014,"lang":"en","type":"article","venue":"Axioms","topic":"Access Control and Trust","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Reputation; Witness; Service provider; Service (business); Computer science; Computational trust; Value (mathematics); Sample (material); Business; Trustworthiness; Internet privacy; Marketing","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002211525,0.0004691296,0.0008035287,0.001000604,0.0007883057,0.002227776,0.001806585,0.001378681,0.003102521],"category_scores_gemma":[0.008547151,0.0003028117,0.0009599421,0.0008604472,0.001169896,0.003853939,0.00113616,0.001222725,0.0005799466],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001658431,"about_ca_system_score_gemma":0.001341211,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005956002,"about_ca_topic_score_gemma":0.004620818,"domain_scores_codex":[0.9978195,0.0009254898,0.0001508518,0.0003875831,0.0005619829,0.0001545232],"domain_scores_gemma":[0.9958208,0.002144329,0.0005273822,0.0004045886,0.0008584182,0.0002444961],"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":[0.0002429108,0.0001713904,0.00421176,0.0001731074,0.0001528642,0.0004885506,0.0005229724,0.6858709,0.00316684,0.2513347,0.002876551,0.05078746],"study_design_scores_gemma":[0.0000144902,0.00006034198,0.0003302629,0.000008818723,0.00002646557,0.00008915534,0.00002890045,0.9810495,0.0003388686,0.01706629,0.0009677181,0.00001921416],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04605842,0.0002481051,0.9414198,0.0007102757,0.00008840092,0.00009491752,0.0001295281,0.0003107039,0.0109398],"genre_scores_gemma":[0.8834379,0.000190907,0.1097884,0.00007632229,0.00005515836,0.0001326128,0.0001152792,0.00003154407,0.006171829],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005956002,"threshold_uncertainty_score":0.01203275,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02047182825374607,"score_gpt":0.2814902819031714,"score_spread":0.2610184536494253,"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."}}