{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004494976,0.00008909713,0.00008178941,0.00006106737,0.00009824665,0.00009476652,0.0002370795,0.00006774694,0.00001227661],"category_scores_gemma":[0.000006165398,0.00007837375,0.00002224253,0.0001595385,0.00001576268,0.0001460834,0.00004271553,0.00006205763,0.000008098296],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002532767,"about_ca_system_score_gemma":0.00001124645,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001557432,"about_ca_topic_score_gemma":0.00005392974,"domain_scores_codex":[0.9990895,0.00001505401,0.0001351698,0.000329306,0.0001313275,0.0002996692],"domain_scores_gemma":[0.9994561,0.00006729564,0.00003175589,0.0002905329,0.00005382507,0.0001005095],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001140208,0.000055982,0.00002509922,0.000006491644,0.00000527539,0.000002506878,0.0002113832,0.0007676986,0.00256445,0.9368399,0.0004814413,0.05902833],"study_design_scores_gemma":[0.0003498572,0.0003619881,0.0006209681,0.00000350178,0.000004307948,0.00002971448,0.00005309404,0.9694254,0.0185811,0.009274338,0.001137954,0.0001577386],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04399739,0.00001857392,0.9535263,0.000159104,0.0003235445,0.0002652128,2.720669e-7,0.0001786225,0.001530936],"genre_scores_gemma":[0.9170339,0.00000205426,0.0817899,0.0005497496,0.0001377073,0.00001677106,0.000001651605,0.000008018907,0.0004602111],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9686577,"threshold_uncertainty_score":0.3195989,"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."}}