{"id":"W7124154574","doi":"10.65109/oehq3478","title":"Smart cheaters do prosper: defeating trust and reputation systems","year":2009,"lang":"","type":"article","venue":"","topic":"Access Control and Trust","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Cheating; Reputation; Key (lock); Perspective (graphical); Multitude; Reputation system","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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0009417572,0.0002313071,0.0003510265,0.00007808817,0.001079193,0.001272104,0.0001827625,0.0002047138,0.0001991172],"category_scores_gemma":[0.0001429933,0.0001978124,0.00007760571,0.0003852095,0.0002156597,0.0008950927,0.00003082246,0.0001636107,0.0000425293],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009961335,"about_ca_system_score_gemma":0.00009326601,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00253844,"about_ca_topic_score_gemma":0.0001115842,"domain_scores_codex":[0.997789,0.0001865444,0.0005067475,0.0005221152,0.0004711924,0.0005243991],"domain_scores_gemma":[0.9991313,0.00009136375,0.0002280115,0.0001722626,0.0001433726,0.0002337229],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001461716,0.0002261722,0.3749619,0.0001580934,0.0001287443,0.000030651,0.03877708,0.0002562949,0.0003962054,0.2176133,0.0006072965,0.3666981],"study_design_scores_gemma":[0.007367915,0.001869434,0.7372869,0.001001136,0.0007288296,0.00006219308,0.1225013,0.09149995,0.0002719131,0.0125534,0.0216821,0.003174928],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7036837,0.003227954,0.0007114271,0.003462792,0.0008958961,0.001166446,0.000004444489,0.0001538883,0.2866935],"genre_scores_gemma":[0.9939821,0.0003203184,0.0001570452,0.0002975767,0.0004543971,0.00001684516,0.000002592187,0.00001020695,0.004758861],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3635232,"threshold_uncertainty_score":0.9997647,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0125749996979353,"score_gpt":0.2726835757699855,"score_spread":0.2601085760720502,"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."}}