{"id":"W1514302300","doi":"10.1007/978-3-642-01187-0_15","title":"Improving Trust and Reputation Modeling in E-Commerce Using Agent Lifetime and Transaction Count","year":2009,"lang":"en","type":"book-chapter","venue":"Lecture notes in business information processing","topic":"Access Control and Trust","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Reputation; Database transaction; Business; Internet privacy; E-commerce; Computer security; Computer science; World Wide Web; Database; Political science; Law","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":[0.003394934,0.0007261134,0.002015326,0.0006976547,0.0008766977,0.002170935,0.002354081,0.001376763,0.001397757],"category_scores_gemma":[0.01450336,0.001028539,0.0008287647,0.0009293796,0.0007196934,0.0059827,0.001142035,0.00220936,0.0003381365],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001409185,"about_ca_system_score_gemma":0.0009073871,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007822792,"about_ca_topic_score_gemma":0.008241705,"domain_scores_codex":[0.9988027,0.0005797428,0.00008894282,0.0002311172,0.0002151014,0.00008237493],"domain_scores_gemma":[0.9895057,0.008282742,0.0005039512,0.0006325516,0.0008568558,0.0002182415],"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":[0.000177853,0.0001459977,0.002255678,0.0000531065,0.00008294513,0.00004462388,0.00009040348,0.939984,0.001038851,0.008881504,0.0008088077,0.04643635],"study_design_scores_gemma":[0.000001537854,0.000005064718,0.00005830041,9.956476e-7,0.000004016423,0.000003312849,0.000002101011,0.9983853,0.00009432097,0.001412676,0.00003020536,0.000002206359],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1029237,0.0009946587,0.8932963,0.0004377135,0.00007572923,0.00004487853,0.00008619451,0.0005751917,0.001565607],"genre_scores_gemma":[0.8753914,0.0003667632,0.1214002,0.00006240557,0.00008516556,0.00006696928,0.000158981,0.0001186978,0.00234937],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007822792,"threshold_uncertainty_score":0.01795435,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02210926687444785,"score_gpt":0.2660915632790379,"score_spread":0.24398229640459,"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."}}