{"id":"W2188022113","doi":"10.34105/j.kmel.2015.07.031","title":"Towards a framework for teaching about information technology risk in health care: Simulating threats to health data and patient safety","year":2015,"lang":"en","type":"article","venue":"Knowledge Management & E-Learning An International Journal","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Usability; Health care; Hacker; Risk analysis (engineering); Quality (philosophy); Computer science; Information technology; Work (physics); Data quality; Knowledge management; Computer security; Business; Engineering; Operations management; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.008217012,0.0002414752,0.0004582212,0.001129933,0.00144276,0.0001290414,0.0008767415,0.0001821879,0.00001387212],"category_scores_gemma":[0.002678256,0.0002357414,0.00003838213,0.000321907,0.00002864653,0.000846214,0.0008839372,0.002574699,0.00005349009],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003668119,"about_ca_system_score_gemma":0.001419923,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007554874,"about_ca_topic_score_gemma":0.0009849706,"domain_scores_codex":[0.994424,0.001770672,0.00187103,0.0004363572,0.0005562981,0.0009416314],"domain_scores_gemma":[0.9965471,0.0004100298,0.001469149,0.0004380748,0.0005916459,0.0005439892],"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":[0.0002200848,0.00007067953,0.02527086,0.000403324,0.00007468436,0.000002790382,0.07432052,0.002315467,7.812196e-8,0.02438661,0.001716505,0.8712184],"study_design_scores_gemma":[0.003154309,0.001661913,0.007306123,0.003879781,0.00001421705,0.00002388316,0.1528406,0.04236942,1.758316e-7,0.005183307,0.7832375,0.0003287315],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08892442,0.007634897,0.8266211,0.03508714,0.008820726,0.007489802,0.0002124366,0.0005684717,0.02464106],"genre_scores_gemma":[0.8951202,0.0009232545,0.09976146,0.002492861,0.0009759945,0.0002008169,0.0002571041,0.00005867709,0.0002096441],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8708897,"threshold_uncertainty_score":0.9998572,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06018322365092945,"score_gpt":0.4698738857724762,"score_spread":0.4096906621215468,"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."}}