{"id":"W3200029738","doi":"10.1145/3448649","title":"Automated Security Assessment Framework for Wearable BLE-enabled Health Monitoring Devices","year":2021,"lang":"en","type":"article","venue":"ACM Transactions on Internet Technology","topic":"Wireless Body Area Networks","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Siemens (Canada); University of Saskatchewan; University of New Brunswick","funders":"","keywords":"Computer science; Eavesdropping; Computer security; Wearable computer; Bluetooth; Wearable technology; Denial-of-service attack; Mobile device; Embedded system; Telecommunications; Wireless; The Internet; World Wide Web","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":[0.0001372867,0.0002531626,0.0003777145,0.0002887701,0.0001452931,0.0000624057,0.000465067,0.0004821095,0.0001178516],"category_scores_gemma":[0.00003523529,0.0002931756,0.0001046649,0.0006764788,0.00005219141,0.0001260824,0.00001910425,0.0009040023,0.00002759496],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003773693,"about_ca_system_score_gemma":0.00008623854,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003552964,"about_ca_topic_score_gemma":0.0001419192,"domain_scores_codex":[0.9984829,0.00003526382,0.0003853201,0.000391643,0.0001345097,0.0005703284],"domain_scores_gemma":[0.9987611,0.000235506,0.00006165374,0.0007562049,0.00009894086,0.00008654926],"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":[0.00017093,0.00174922,0.005843605,0.002643097,0.003620286,0.000206244,0.002532641,0.5160261,0.005605503,0.03870806,0.009186436,0.4137078],"study_design_scores_gemma":[0.001780483,0.0006801177,0.00101725,0.002525357,0.000137422,0.0001561733,0.002192443,0.7094942,0.2114121,0.05056603,0.01886277,0.001175575],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09662659,0.001067976,0.8912748,0.00243586,0.001702548,0.0003872381,0.00002978478,0.006216417,0.0002587857],"genre_scores_gemma":[0.9136057,0.0003836727,0.08539672,0.00006857234,0.00006947605,0.0002804591,0.00001099049,0.00007003458,0.000114398],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8169791,"threshold_uncertainty_score":0.999952,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01474590516357314,"score_gpt":0.2988268193513365,"score_spread":0.2840809141877633,"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."}}