{"id":"W4388831587","doi":"10.1503/cmaj.230436","title":"Cyberattacks on Canadian health information systems","year":2023,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"North York General Hospital; Women's College Hospital; University of Toronto; University of British Columbia; St. Michael's Hospital","funders":"","keywords":"Wearable computer; The Internet; Key (lock); Computer science; World Wide Web; Health care; Medical record; Digital health; Medical information; Electronic health record; Internet privacy; Data science; Telemedicine; Medicine; Computer security; Knowledge management","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":[0.004986709,0.000448197,0.0003358657,0.004716401,0.01857138,0.01405882,0.00199111,0.002041846,0.03138407],"category_scores_gemma":[0.02123751,0.0004096247,0.0005934137,0.007321822,0.007833343,0.005477077,0.006041294,0.003610012,0.002141812],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1166242,"about_ca_system_score_gemma":0.1151735,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9822447,"about_ca_topic_score_gemma":0.9792019,"domain_scores_codex":[0.9869673,0.00160339,0.0003168032,0.00074775,0.007783027,0.002581697],"domain_scores_gemma":[0.9780212,0.003412966,0.00119575,0.0009827693,0.01158734,0.004800048],"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":[0.000125898,0.00007277637,0.02787483,0.0003136358,0.00004809843,0.0004580924,0.01418247,0.001624822,0.0004109728,0.2707134,0.5086995,0.1754755],"study_design_scores_gemma":[0.00002484964,0.0000523242,0.06032483,0.0008190652,0.00003828149,0.0001828172,0.01758755,0.002594327,0.000309366,0.02015857,0.897768,0.0001400559],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.08665149,0.00958611,0.004053792,0.282689,0.002024517,0.0002273928,0.003036363,0.0007295343,0.6110018],"genre_scores_gemma":[0.8998017,0.01003224,0.003903838,0.01621361,0.0008484112,0.00007594639,0.001804439,0.0002077218,0.06711201],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1166242,"threshold_uncertainty_score":0.8461716,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02774780572606861,"score_gpt":0.3810662282527728,"score_spread":0.3533184225267041,"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."}}