{"id":"W2152568281","doi":"10.1109/wcnc.2011.5779285","title":"Secure and quality of service assurance scheduling scheme for WBAN with application to eHealth","year":2011,"lang":"en","type":"article","venue":"","topic":"Wireless Body Area Networks","field":"Engineering","cited_by":68,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Computer network; eHealth; Body area network; Quality of service; Scheduling (production processes); Network packet; Wireless; Computer security; Wireless sensor network; Health care; Telecommunications","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001325284,0.0004317167,0.0004662457,0.0005888374,0.0008953439,0.0006480261,0.0008965305,0.0004798286,0.0009597907],"category_scores_gemma":[0.002921492,0.0001422473,0.0003830142,0.0006332135,0.0006888581,0.0009172724,0.0008305696,0.0007008584,0.000206605],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001152048,"about_ca_system_score_gemma":0.001274304,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001373366,"about_ca_topic_score_gemma":0.001008337,"domain_scores_codex":[0.9991276,0.0002735181,0.00005534812,0.0001081876,0.0003018321,0.0001335522],"domain_scores_gemma":[0.9984965,0.0004216496,0.0002898581,0.0002627573,0.0004201854,0.0001090397],"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":[0.001610168,0.000376036,0.0028262,0.0003710493,0.0001418399,0.0005399173,0.000711478,0.40285,0.1297667,0.2220945,0.007111341,0.2316008],"study_design_scores_gemma":[0.00006699895,0.0003181445,0.0004876343,0.00001612343,0.00003450432,0.0002103591,0.00005535312,0.9746404,0.008493459,0.01208869,0.003553565,0.00003470861],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08214536,0.0008297292,0.9128786,0.0004805036,0.0003111645,0.0001456747,0.00005488405,0.0002526678,0.002901444],"genre_scores_gemma":[0.9203832,0.0004278249,0.07725263,0.0001016081,0.0001157608,0.00008753984,0.0000521878,0.00001705388,0.001562223],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001373366,"threshold_uncertainty_score":0.008358777,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02695977716825582,"score_gpt":0.2597865707248859,"score_spread":0.2328267935566301,"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."}}