{"id":"W3001077026","doi":"10.1503/cmaj.1095841","title":"How hospitals can protect themselves from cyber attack","year":2020,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Information and Cyber Security","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Stephen's University","funders":"","keywords":"Ransom; Hacker; Computer security; Computer science; Health care; Internet privacy; Medical emergency; Medicine; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.009849158,0.001002702,0.0005676221,0.001635733,0.005763929,0.02043274,0.0025006,0.01060615,0.03344058],"category_scores_gemma":[0.04605537,0.000703325,0.000906999,0.001049062,0.01111048,0.02170248,0.01265296,0.01184783,0.02014104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003338999,"about_ca_system_score_gemma":0.01193259,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007387291,"about_ca_topic_score_gemma":0.007111029,"domain_scores_codex":[0.9893449,0.00393501,0.0003475819,0.0008484051,0.0027495,0.002774603],"domain_scores_gemma":[0.9736602,0.006559894,0.002001596,0.00365419,0.005599797,0.008524416],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000150827,0.000352129,0.005827829,0.0003830769,0.0001722596,0.0006307654,0.004676776,0.002478005,0.0008333889,0.26905,0.5673404,0.1481046],"study_design_scores_gemma":[0.00008075721,0.0002006702,0.001958229,0.0007447309,0.00008338327,0.0004653592,0.01060504,0.001083844,0.001009016,0.2790343,0.7046081,0.0001265034],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.01230914,0.008602962,0.01996707,0.7619056,0.007391556,0.0001042395,0.0001590772,0.0009114728,0.1886489],"genre_scores_gemma":[0.5797522,0.0205487,0.01469977,0.2605044,0.006583046,0.0002656729,0.0003710868,0.0007059944,0.1165692],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.03344058,"threshold_uncertainty_score":0.1118699,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01039226897917829,"score_gpt":0.2076560190821838,"score_spread":0.1972637501030055,"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."}}