{"id":"W2129785134","doi":"10.1145/1454609.1454628","title":"A security management scheme using a novel computational reputation model for wireless and mobile ad hoc networks","year":2008,"lang":"en","type":"article","venue":"","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Reputation; Mobile ad hoc network; Wireless ad hoc network; Trust management (information system); Node (physics); Computer network; Vehicular ad hoc network; Computer security; Reputation system; Wireless; Mobile computing; Set (abstract data type); Wireless network; Distributed computing; Adaptation (eye); Telecommunications; Engineering","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":[0.0002219603,0.0001649671,0.0001758152,0.00007296704,0.0002801635,0.00009686737,0.0002876307,0.00007727776,0.000003403076],"category_scores_gemma":[0.000002837938,0.0001707164,0.00005672037,0.0002684276,0.00006386778,0.0004932247,0.0002795712,0.0000995757,0.000001099961],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006700843,"about_ca_system_score_gemma":0.00004755638,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003027788,"about_ca_topic_score_gemma":0.000005180271,"domain_scores_codex":[0.9985986,0.00001763365,0.0002841233,0.0005401588,0.0002509425,0.0003085293],"domain_scores_gemma":[0.99927,0.00009180925,0.0001119812,0.0002966269,0.0001310303,0.00009856086],"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":[0.0000140489,0.00008339807,0.00004037723,0.0000231016,0.00002536492,0.000004120066,0.0005410162,0.9558627,0.00001905789,0.03262443,0.0002900022,0.0104724],"study_design_scores_gemma":[0.0007991718,0.00004589346,0.0001041624,0.00002113688,0.000008184145,0.00005208321,0.00002253535,0.9931299,0.000004598236,0.005335561,0.0002744429,0.0002023413],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.07999977,0.0004008512,0.9183859,0.00004578551,0.00009302601,0.0007811653,0.000003100072,0.0001464191,0.0001440151],"genre_scores_gemma":[0.4767318,0.00008769055,0.5226949,0.0002214776,0.00003025882,0.0001208267,0.00001039689,0.00001031593,0.00009232874],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.396732,"threshold_uncertainty_score":0.6961613,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02963597999036518,"score_gpt":0.2621333189240596,"score_spread":0.2324973389336944,"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."}}