{"id":"W4251214334","doi":"10.1002/wcm.878","title":"Constructing secured cognitive wireless networks: experiences and challenges","year":2009,"lang":"en","type":"article","venue":"Wireless Communications and Mobile Computing","topic":"Cognitive Radio Networks and Spectrum Sensing","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Cognitive radio; Computer science; Cognitive network; Computer network; Wireless network; Quality of service; Wireless; Computer security; Provisioning; Application layer; Physical layer; 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":[],"consensus_categories":[],"category_scores_codex":[0.0003756113,0.0002264615,0.0003251149,0.00009845755,0.0009276863,0.0003506332,0.0006111117,0.00008432918,0.000001101735],"category_scores_gemma":[0.00001825216,0.0002296468,0.00004485973,0.0003038469,0.0003756247,0.000326746,0.0006889093,0.00030772,5.507139e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000266517,"about_ca_system_score_gemma":0.00002916361,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001515406,"about_ca_topic_score_gemma":0.00003191792,"domain_scores_codex":[0.9984304,0.000218657,0.0003374428,0.0004960821,0.0001348344,0.0003826316],"domain_scores_gemma":[0.9980975,0.0007885703,0.0001936996,0.0006412744,0.000141658,0.0001373284],"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":[0.000002885085,0.00004152937,0.0002269988,0.000007859044,0.00001636587,0.000004303305,0.0102484,0.0000232091,0.00002541431,0.04523765,0.000002882413,0.9441625],"study_design_scores_gemma":[0.0004316608,0.0001629946,0.001266964,0.0003608933,0.00001425229,0.000183831,0.02429637,0.9720141,0.00007063213,0.000545405,0.0002988554,0.0003540898],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7307834,0.03673458,0.2284172,0.001232052,0.0001407842,0.000363214,0.000001307998,0.0002607529,0.002066683],"genre_scores_gemma":[0.9771534,0.01430948,0.008222395,0.0001821877,0.00009483191,0.00001821264,0.000005925828,0.00001014275,0.000003390049],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9719908,"threshold_uncertainty_score":0.9364724,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0251449115532026,"score_gpt":0.2657354209002968,"score_spread":0.2405905093470943,"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."}}