{"id":"W2115427114","doi":"10.1109/icfcc.2010.5497669","title":"Combining data trust in reputation systems to boost P2P security","year":2010,"lang":"en","type":"article","venue":"","topic":"Access Control and Trust","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bishop's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Reputation; Scalability; Computer security; Denial-of-service attack; Peer-to-peer; Vulnerability (computing); Trustworthiness; Network security; Computer network; Internet privacy; World Wide Web; The Internet; Database","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001158227,0.00005428179,0.0001095647,0.00005782978,0.0002046884,0.0002079725,0.0004840874,0.00007463004,0.0001826607],"category_scores_gemma":[0.0005253274,0.00004912563,0.00001077987,0.0002452093,0.00005042337,0.0005496992,0.0001200368,0.0001562359,0.00008418573],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002113558,"about_ca_system_score_gemma":0.00008175079,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03487886,"about_ca_topic_score_gemma":0.08074403,"domain_scores_codex":[0.9990886,0.00008013536,0.0001720018,0.0002281793,0.0002291562,0.0002019498],"domain_scores_gemma":[0.9993826,0.0001065045,0.00004516532,0.0003145199,0.00004960663,0.0001015625],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005522459,0.0001724187,0.1827932,0.00002480311,0.00001886489,0.0000247514,0.02812062,0.00006587471,0.0004587543,0.7599937,0.009179587,0.01909218],"study_design_scores_gemma":[0.003000207,0.0001070758,0.1734091,0.0001034357,0.00004270511,0.000005313513,0.06887928,0.05050119,0.0001009837,0.01291421,0.6898369,0.001099581],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.72075,0.00003492989,0.0004352743,0.003170732,0.001406761,0.0004581577,0.00002091222,0.0001192346,0.273604],"genre_scores_gemma":[0.9984674,0.000003579387,0.0001378304,0.0001880387,0.0002240777,0.00001176595,0.00002039062,0.000004458985,0.000942387],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7470796,"threshold_uncertainty_score":0.971548,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03919076442555744,"score_gpt":0.3578103162218043,"score_spread":0.3186195517962469,"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."}}