{"id":"W2886108886","doi":"10.1109/qrs-c.2018.00081","title":"Information Security Considerations for Wireless Infusion Pumps","year":2018,"lang":"en","type":"article","venue":"","topic":"Wireless Body Area Networks","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University of Edmonton","funders":"Ministère de l'Économie, de la Science et de l'Innovation - Québec","keywords":"Computer security; Wireless; Computer science; Infusion pump; Software; Information security; Risk analysis (engineering); Business; Telecommunications; Medicine; Operating system","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008848165,0.00008658856,0.00008398088,0.00005775427,0.0001312112,0.00006644489,0.00004693601,0.00008429896,0.0002355368],"category_scores_gemma":[0.00003749072,0.0000857413,0.00002776363,0.00008231152,0.00003653121,0.0005543517,0.00001917206,0.00006377426,0.0001258233],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003276089,"about_ca_system_score_gemma":0.00001425637,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001475029,"about_ca_topic_score_gemma":0.0001561621,"domain_scores_codex":[0.9995167,0.000005949756,0.0001889713,0.00004857971,0.00007457177,0.0001652728],"domain_scores_gemma":[0.9995644,0.00009477916,0.00001897001,0.0001427873,0.0001321358,0.00004691791],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005036012,0.00006586895,0.0007929955,0.0003747647,0.0001450878,0.000001381634,0.01303383,0.03360146,0.005907321,0.3216011,0.571282,0.0531438],"study_design_scores_gemma":[0.000413388,0.00004382403,0.0005788853,0.00001866576,0.000008737386,0.000005386983,0.0001528019,0.9558276,0.01381121,0.008460595,0.02047756,0.0002013727],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.675082,0.00001796298,0.2459757,0.0003785754,0.001156114,0.0007021374,0.00003687686,0.001303767,0.07534691],"genre_scores_gemma":[0.9972576,0.000007819291,0.002136759,0.0002006682,0.0002711153,0.00005060892,0.00003432448,0.00001185143,0.00002923255],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9222261,"threshold_uncertainty_score":0.3496429,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0102447705309801,"score_gpt":0.2172983385503571,"score_spread":0.207053568019377,"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."}}