{"id":"W2029684144","doi":"10.1109/icdcsw.2006.115","title":"Wireless Sensor Networks for Clinical Information Systems: A Security Perspective","year":2006,"lang":"en","type":"article","venue":"","topic":"Wireless Body Area Networks","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Wireless sensor network; Computer science; Key distribution in wireless sensor networks; Confidentiality; Computer network; Wireless; Computer security; Wireless network; Wi-Fi array; Enforcement; Municipal wireless network; Perspective (graphical); 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":[0.0003308283,0.0001766,0.0002765771,0.00005858398,0.00006800229,0.0001023445,0.0001142297,0.0002475615,0.000007311328],"category_scores_gemma":[0.00002099458,0.0001707698,0.0001225738,0.0001489122,0.00004021331,0.0004029126,0.00002081385,0.0002348985,0.00002584388],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001573846,"about_ca_system_score_gemma":0.0000148044,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001589335,"about_ca_topic_score_gemma":0.00009037133,"domain_scores_codex":[0.9988111,0.00003567587,0.0005423337,0.0001442513,0.0001264308,0.0003401697],"domain_scores_gemma":[0.9992127,0.0002410689,0.0000632791,0.0002128416,0.0002004729,0.00006957244],"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":[0.00003377152,0.00003441229,0.001241412,0.00009948872,0.00007248511,0.000001938919,0.0001532125,0.8246605,0.00000309626,0.1154788,0.05704157,0.001179303],"study_design_scores_gemma":[0.0005574982,0.00002858512,0.0009774386,0.00002960561,0.00001969325,0.00000647175,0.0006298545,0.9858814,0.00001374645,0.0003692266,0.01125847,0.00022797],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0859779,0.0008142728,0.8160861,0.00007594444,0.002493294,0.001425568,0.00003731323,0.001808414,0.09128124],"genre_scores_gemma":[0.9977013,0.00006887843,0.0006336138,0.00004143171,0.001237007,0.0001028583,0.00006206243,0.00003078508,0.0001220996],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9117234,"threshold_uncertainty_score":0.696379,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01150476862861138,"score_gpt":0.2560250132839498,"score_spread":0.2445202446553384,"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."}}