{"id":"W4389895873","doi":"10.1503/cmaj.231690","title":"Correction to “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":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Data science; World Wide Web; Computer security; Information retrieval","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007132276,0.002433289,0.002674706,0.003887286,0.01416488,0.008367707,0.006659398,0.02799883,0.05316482],"category_scores_gemma":[0.09034961,0.001412884,0.001965918,0.004816605,0.007418872,0.002435332,0.003619155,0.03253601,0.02958515],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02725221,"about_ca_system_score_gemma":0.07337602,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6612762,"about_ca_topic_score_gemma":0.6949561,"domain_scores_codex":[0.9833883,0.001010809,0.001266728,0.001449566,0.01050794,0.002376574],"domain_scores_gemma":[0.9408271,0.009285381,0.002053179,0.002677059,0.04087034,0.004286942],"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":[0.00000335809,0.000001058569,0.00001379743,0.00001616053,0.000001961626,0.00002713375,0.00002466779,0.000008179617,0.000003911105,0.000361615,0.9985992,0.0009388421],"study_design_scores_gemma":[0.00002048112,0.000006431703,0.0004144887,0.0002521747,0.00001050887,0.00005656923,0.0001049856,0.00008897111,0.00004316146,0.0005175462,0.9984584,0.00002635357],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.0001114497,0.001506325,0.0004690827,0.3298372,0.6514866,0.00005574446,0.002082351,0.0007410584,0.01371023],"genre_scores_gemma":[0.01075427,0.006092252,0.002287238,0.5640057,0.2056128,0.0003089339,0.002086847,0.000872116,0.2079798],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9727478,"threshold_uncertainty_score":0.6814371,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02420652207002195,"score_gpt":0.3789243519302561,"score_spread":0.3547178298602342,"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."}}