{"id":"W2162413306","doi":"10.1109/mwc.2008.4599216","title":"MAC layer misbehavior in wireless networks: challenges and solutions","year":2008,"lang":"en","type":"article","venue":"IEEE Wireless Communications","topic":"Wireless Networks and Protocols","field":"Computer Science","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Computer network; Computer science; Wireless ad hoc network; Network allocation vector; Layer (electronics); Bandwidth (computing); Multiple Access with Collision Avoidance for Wireless; Wireless; Protocol (science); Link layer; Network layer; Wireless network; Application layer; IEEE 802.11; Routing protocol; Network packet; Optimized Link State Routing Protocol; Telecommunications","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004350384,0.0002578144,0.0003561356,0.000181238,0.0007420852,0.00009070367,0.002487462,0.0001926583,0.000004999676],"category_scores_gemma":[0.000008242121,0.0002697107,0.0000795584,0.0005346265,0.0003940775,0.0005708845,0.0008509923,0.0005655891,0.00002158967],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006777771,"about_ca_system_score_gemma":0.0001031201,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001272476,"about_ca_topic_score_gemma":0.0008669595,"domain_scores_codex":[0.9978601,0.0003832899,0.000475168,0.0004767685,0.0002262821,0.0005783969],"domain_scores_gemma":[0.9963883,0.0003963216,0.00015182,0.002771403,0.0001124408,0.0001796978],"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":[0.00002718835,0.001688624,0.01068212,0.00007137903,0.0000733971,0.00009008514,0.007766933,0.003102187,0.001329249,0.4490187,0.002294851,0.5238553],"study_design_scores_gemma":[0.001833488,0.0001427712,0.09417129,0.0004446746,0.00002433258,0.0002851085,0.0002450632,0.8837764,0.0003204903,0.002543611,0.01499763,0.00121514],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5002812,0.05594368,0.3836398,0.02881517,0.001411633,0.0139974,0.00003789638,0.002010487,0.0138628],"genre_scores_gemma":[0.9660061,0.02526796,0.005501048,0.0001834366,0.00007769965,0.002819561,0.000008097676,0.00002692731,0.0001091714],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8806742,"threshold_uncertainty_score":0.9999755,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1238734571495844,"score_gpt":0.3030189016454822,"score_spread":0.1791454444958977,"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."}}