{"id":"W4386305649","doi":"10.1177/08404704231196138","title":"Enhancing patient safety: A national standard for cyber resiliency in healthcare","year":2023,"lang":"en","type":"article","venue":"Healthcare Management Forum","topic":"Disaster Response and Management","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute on Governance; CARE Canada","funders":"Public Safety Canada","keywords":"Health care; Patient safety; Medical emergency; Business; Medicine; Nursing; Computer security; Computer science; Political science","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002417292,0.0003004215,0.0004455516,0.0009712427,0.001048454,0.00002451994,0.0002988573,0.0001702972,0.0001175857],"category_scores_gemma":[0.0001595057,0.0003020273,0.0001302597,0.001175696,0.00003161426,0.0001902309,0.000588949,0.0004095897,0.0005718216],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001245237,"about_ca_system_score_gemma":0.0003671262,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007292445,"about_ca_topic_score_gemma":0.01077448,"domain_scores_codex":[0.9946884,0.0005696036,0.001308351,0.0007465245,0.0009522254,0.001734929],"domain_scores_gemma":[0.9982653,0.0003883973,0.0002905352,0.0005037141,0.0003033618,0.0002486539],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002636697,0.0001425009,0.01282672,0.007531901,0.0001112403,0.000107504,0.009711047,0.0001239156,0.000009443183,0.5739875,0.2893061,0.1035054],"study_design_scores_gemma":[0.00242377,0.0004818983,0.01183342,0.001102247,0.00001495043,5.395608e-7,0.03873936,0.0002080429,0.000008799384,0.02717772,0.9176461,0.0003631834],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1010697,0.001380594,0.01195863,0.6878747,0.008088682,0.03885284,0.001704601,0.002304021,0.1467662],"genre_scores_gemma":[0.9115056,0.001131403,0.002345102,0.04303097,0.0002887384,0.008283294,0.000786158,0.0001715783,0.03245709],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.810436,"threshold_uncertainty_score":0.9999432,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04627669570775313,"score_gpt":0.4172938566295998,"score_spread":0.3710171609218467,"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."}}