{"id":"W2109191120","doi":"10.1109/glocom.2008.ecp.366","title":"An Efficient Trust-Based Reputation Protocol for Wireless and Mobile Ad Hoc Networks: Proof and Correctness","year":2008,"lang":"en","type":"article","venue":"","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Correctness; Reputation; Computer science; Trust management (information system); Computer security; Wireless ad hoc network; Trustworthiness; Protocol (science); Wireless network; Computational trust; Computer network; Wireless; Mobile ad hoc network; Reputation system; Telecommunications; Algorithm","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":[0.0003534944,0.0001958798,0.0002179062,0.00006454351,0.0002810755,0.0001515052,0.0003026798,0.0001027112,0.000007077499],"category_scores_gemma":[0.00001113516,0.0001666487,0.00003339296,0.0002894635,0.0001211694,0.0002934184,0.00008085002,0.0001008984,7.121378e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003365434,"about_ca_system_score_gemma":0.00009482729,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004023118,"about_ca_topic_score_gemma":0.00001276377,"domain_scores_codex":[0.9984168,0.00008311054,0.000289154,0.0006630951,0.0002052892,0.00034255],"domain_scores_gemma":[0.9988863,0.0001711177,0.0001341261,0.0004946964,0.0001446218,0.0001691569],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002553856,0.000479765,0.001238693,0.0001386419,0.00001083945,0.00001730542,0.000975537,0.4840973,0.00008702786,0.001164944,0.001178876,0.5103557],"study_design_scores_gemma":[0.001669068,0.000887608,0.000896985,0.00004089864,0.000003729404,0.00003530249,0.00002537051,0.9925756,0.0008358568,0.0000511942,0.002747342,0.0002310232],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06539542,0.00006469715,0.8346784,0.00003510169,0.0001144964,0.09945631,0.000001063543,0.0002012306,0.00005334938],"genre_scores_gemma":[0.521069,0.000005561006,0.03897582,0.0002254594,0.000102851,0.4394458,0.000007759716,0.00002701899,0.0001407576],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7957025,"threshold_uncertainty_score":0.6795738,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01550644970320441,"score_gpt":0.2772789554327203,"score_spread":0.2617725057295159,"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."}}