{"id":"W4402140393","doi":"10.1007/978-3-031-68034-2_7","title":"Detection and Prevention of Cyberattacks in Healthcare","year":2024,"lang":"en","type":"book-chapter","venue":"Progress in IS","topic":"Information and Cyber Security","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary; York University; University of Toronto","funders":"","keywords":"Health care; Medical emergency; Computer security; Internet privacy; Business; Medicine; Computer science; 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":[0.0006104626,0.0006167584,0.0004349921,0.0009935379,0.000312792,0.003151776,0.0007640302,0.001233469,0.01543238],"category_scores_gemma":[0.001922268,0.0002312058,0.0002935869,0.001153162,0.0008093304,0.002256753,0.0006566641,0.001557218,0.006341827],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007195861,"about_ca_system_score_gemma":0.001376709,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002514147,"about_ca_topic_score_gemma":0.003740891,"domain_scores_codex":[0.9995994,0.00008541647,0.00001579934,0.00005105385,0.0002203311,0.00002792328],"domain_scores_gemma":[0.9991493,0.0005943995,0.000047698,0.00004089994,0.0001323048,0.00003539851],"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":[0.00002250222,0.00007892672,0.0006758839,0.0006338352,0.00001920987,0.00006233278,0.0003524912,0.001113416,0.0006321073,0.08446451,0.1941825,0.7177622],"study_design_scores_gemma":[0.00001144946,0.00009154833,0.003861043,0.002542863,0.00002944598,0.0006367654,0.0005337094,0.004112904,0.001421558,0.1031054,0.8836243,0.00002905741],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003595151,0.3496435,0.04417923,0.02411953,0.005369855,0.000144107,0.000481897,0.0005796331,0.571887],"genre_scores_gemma":[0.07130507,0.3955279,0.04198628,0.006660774,0.004030697,0.0001483427,0.0007371016,0.0001670729,0.4794368],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01543238,"threshold_uncertainty_score":0.0516265,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01800794864558081,"score_gpt":0.2909652207394643,"score_spread":0.2729572720938835,"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."}}