{"id":"W2116768928","doi":"10.1109/wimob.2007.4390872","title":"An Efficient and Truthful Leader IDS Election Mechanism for MANET","year":2007,"lang":"en","type":"article","venue":"","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Network packet; Reputation; Intrusion detection system; Computer network; Mobile ad hoc network; Computer security; Process (computing); Service (business); Wireless ad hoc network; Selfishness; Distributed computing; Wireless","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":[0.002587913,0.0005610644,0.0008957693,0.001038306,0.0008152894,0.001259248,0.002797538,0.001351571,0.001188312],"category_scores_gemma":[0.0059114,0.0004039572,0.000522305,0.0009172095,0.0007771238,0.002857325,0.001159444,0.0009301858,0.0003533247],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007602412,"about_ca_system_score_gemma":0.001174414,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004982055,"about_ca_topic_score_gemma":0.0004943883,"domain_scores_codex":[0.9984323,0.000479252,0.0001015341,0.0003461042,0.0004738095,0.0001668924],"domain_scores_gemma":[0.9971993,0.001065365,0.0005328337,0.0005672635,0.0005000629,0.0001352044],"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":[0.0007393436,0.0004943777,0.002709239,0.0007531135,0.0003026458,0.0006740029,0.0007156481,0.470598,0.04088064,0.1895704,0.00970791,0.2828548],"study_design_scores_gemma":[0.00008272206,0.0003127941,0.0002667964,0.00002024567,0.00005668755,0.0002834343,0.00005471334,0.9686993,0.006825055,0.01810949,0.005249286,0.00003950627],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02526819,0.0007092102,0.9705133,0.0005397095,0.0001995394,0.0001652357,0.0000589333,0.0007484601,0.001797334],"genre_scores_gemma":[0.8090294,0.0006285857,0.1859576,0.000304258,0.0002231983,0.0001959137,0.0001452656,0.00005212319,0.003463693],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002797538,"threshold_uncertainty_score":0.01368636,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01124178079093857,"score_gpt":0.2536660216120846,"score_spread":0.242424240821146,"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."}}