{"id":"W4402140366","doi":"10.1007/978-3-031-68034-2_10","title":"Cybersecurity Challenges, Best Practices, and Future Work in Healthcare","year":2024,"lang":"en","type":"book-chapter","venue":"Progress in IS","topic":"Privacy-Preserving Technologies in Data","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary; York University; University of Toronto","funders":"","keywords":"Health care; Work (physics); Best practice; Computer security; Computer science; Business; Internet privacy; Engineering; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01245481,0.0006654242,0.0007729915,0.001600175,0.001822491,0.01590459,0.002037515,0.004834539,0.008117749],"category_scores_gemma":[0.01235295,0.000450523,0.0005116706,0.003563914,0.01000743,0.01619207,0.003521862,0.007913526,0.001900163],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004769678,"about_ca_system_score_gemma":0.008111592,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003793417,"about_ca_topic_score_gemma":0.005334813,"domain_scores_codex":[0.9953747,0.002619073,0.0002544111,0.0003293392,0.001098813,0.0003236704],"domain_scores_gemma":[0.9878867,0.008642571,0.0004311788,0.0008354572,0.001283342,0.0009208215],"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":[0.0000260987,0.00006195542,0.0003523422,0.0009035384,0.0000172008,0.0001257824,0.002246956,0.0009276189,0.0002231917,0.6484872,0.1003536,0.2462745],"study_design_scores_gemma":[0.000008500342,0.00004655843,0.0003630178,0.004477611,0.0000142623,0.0003714207,0.004822542,0.001305722,0.0003621728,0.4537667,0.5344288,0.00003268062],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"other","genre_scores_codex":[0.002970408,0.4664666,0.02898276,0.394734,0.006354671,0.00005707805,0.0001103472,0.0002693392,0.1000549],"genre_scores_gemma":[0.1239483,0.7043955,0.06038365,0.05000321,0.009367296,0.0001722475,0.0003650992,0.0002338581,0.05113075],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01590459,"threshold_uncertainty_score":0.06586808,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07995038786430368,"score_gpt":0.3357193394790873,"score_spread":0.2557689516147836,"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."}}