{"id":"W3206613984","doi":"10.1002/dac.5002","title":"Body sensor network encryption and team user authentication scheme based on electrocardiogram detector","year":2021,"lang":"en","type":"article","venue":"International Journal of Communication Systems","topic":"Wireless Body Area Networks","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Computer science; Authentication (law); Encryption; Computer security; Fingerprint (computing); Wireless sensor network; Wearable computer; Computer network; Body area network; Mobile phone; Embedded system; 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":[0.0005241435,0.0003519726,0.0004815278,0.0005071159,0.0005285637,0.0005062575,0.0005851887,0.0006004271,0.001835853],"category_scores_gemma":[0.001074193,0.0001070748,0.0004031684,0.0003470256,0.0002279166,0.0009431163,0.0007187554,0.00047971,0.0007309208],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004013806,"about_ca_system_score_gemma":0.0004650659,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003785473,"about_ca_topic_score_gemma":0.0003085386,"domain_scores_codex":[0.9989253,0.0003071247,0.0001233672,0.0001733583,0.0003147566,0.0001560956],"domain_scores_gemma":[0.9991856,0.0001166323,0.0001181893,0.0002276196,0.0003065855,0.00004541593],"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":[0.002559532,0.0004677657,0.008935601,0.0005588682,0.0002466319,0.001766192,0.0005465362,0.03746031,0.4202262,0.06670414,0.01386259,0.4466657],"study_design_scores_gemma":[0.0003128535,0.001712651,0.007439238,0.0001239651,0.0001747474,0.005952117,0.0001559353,0.6339756,0.2993691,0.008001074,0.0426027,0.0001799492],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2145083,0.001587036,0.7624258,0.001070003,0.000607906,0.0007245534,0.0003879624,0.001917854,0.01677054],"genre_scores_gemma":[0.938914,0.000281911,0.05304583,0.0001292378,0.00005369075,0.0001663762,0.0002522226,0.00001373486,0.00714289],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001835853,"threshold_uncertainty_score":0.006141543,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008375609466958403,"score_gpt":0.2359210813626833,"score_spread":0.2275454718957249,"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."}}