{"id":"W2031096037","doi":"10.1109/icc.2013.6655437","title":"Misbehavior detection in amplify-and-forward cooperative OFDM systems","year":2013,"lang":"en","type":"article","venue":"","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Orthogonal frequency-division multiplexing; Computer science; Computer network; Reliability (semiconductor); Jamming; Node (physics); Scheme (mathematics); Network topology; Multiplexing; Distributed computing; Power (physics); Channel (broadcasting); Engineering; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001925019,0.0004204105,0.0004631487,0.0009192458,0.0005020328,0.000542432,0.0005410907,0.0006700839,0.0001019049],"category_scores_gemma":[0.008765,0.0002515664,0.0001702067,0.0004783314,0.0009186525,0.0008807552,0.0005621111,0.0003855053,0.00005275395],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005076053,"about_ca_system_score_gemma":0.0004316352,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001108514,"about_ca_topic_score_gemma":0.0008049115,"domain_scores_codex":[0.9983765,0.0006360653,0.0001125789,0.0001880175,0.0005807275,0.0001061295],"domain_scores_gemma":[0.9908938,0.005496194,0.002057852,0.0006601429,0.0007697261,0.0001222445],"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":[0.001242208,0.0002459837,0.03765399,0.0002089373,0.0001964352,0.00133456,0.002165498,0.608964,0.1002198,0.0195046,0.0004994498,0.2277645],"study_design_scores_gemma":[0.00001310351,0.0001951795,0.001616342,0.000006141715,0.00002718883,0.0003031605,0.00007475614,0.9754106,0.01917749,0.002971403,0.0001875174,0.0000171137],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.526579,0.0003424974,0.4720568,0.0001219055,0.00001309117,0.00004188387,0.00001517389,0.0002124723,0.0006170559],"genre_scores_gemma":[0.986001,0.00006172854,0.0137823,0.00001425669,0.000005407991,0.00001162271,0.000004040363,0.000002406777,0.0001173288],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001925019,"threshold_uncertainty_score":0.01018059,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03042057704448189,"score_gpt":0.2668982850064687,"score_spread":0.2364777079619868,"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."}}