{"id":"W6910172711","doi":"10.4224/40000465","title":"Cybersecurity for medical devices: recommended best practices during design, development and deployment","year":2019,"lang":"en","type":"report","venue":"NPARC","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique; Medical Council of Canada","funders":"National Institute of Standards and Technology","keywords":"Software deployment; Best practice; The Internet; Malware; Medical diagnosis; Software; Digital health; Health care","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.03142723,0.003515445,0.001268145,0.005841835,0.002695183,0.0121134,0.006026837,0.008816545,0.01291724],"category_scores_gemma":[0.07551472,0.001637845,0.001112141,0.00452797,0.003642324,0.01118182,0.004099123,0.00741213,0.02538841],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004379014,"about_ca_system_score_gemma":0.02058804,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005057306,"about_ca_topic_score_gemma":0.01124443,"domain_scores_codex":[0.958904,0.01276249,0.003487549,0.001231772,0.02238316,0.001230917],"domain_scores_gemma":[0.9249584,0.02185267,0.006733118,0.009052394,0.03376851,0.003634888],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006101132,0.0006579704,0.001971564,0.005229538,0.0000523941,0.000465887,0.001059372,0.003109802,0.00375276,0.02947511,0.1644626,0.789702],"study_design_scores_gemma":[0.0000691099,0.0004959209,0.00228347,0.02510402,0.0001350599,0.001358339,0.001807324,0.003948818,0.007820491,0.04338332,0.9134602,0.0001340049],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.006226016,0.1221253,0.4696996,0.140769,0.006316013,0.01493571,0.001830372,0.01170031,0.2263977],"genre_scores_gemma":[0.02403038,0.1175296,0.8067178,0.00914921,0.001152945,0.005615155,0.001954011,0.001212802,0.03263816],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.03142723,"threshold_uncertainty_score":0.166205,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1572606488393495,"score_gpt":0.3788148429450006,"score_spread":0.2215541941056512,"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."}}