{"id":"W4379518947","doi":"10.1002/spy2.328","title":"Understanding impacts of a ransomware on medical and health facilities by utilizing <scp>LockBit</scp> as a case study","year":2023,"lang":"en","type":"article","venue":"Security and Privacy","topic":"Advanced Malware Detection Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ransomware; Malware; Computer security; Malware analysis; Computer science; Confidentiality; Encryption; Compromise; Internet privacy; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008479042,0.0001467442,0.0002517311,0.0001847781,0.0002851367,0.00007225349,0.0002291224,0.0000766799,0.000003989508],"category_scores_gemma":[0.0004554634,0.0001394141,0.00002902211,0.0004141666,0.00009678266,0.0003109514,0.0003698424,0.0002607847,0.000001690663],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006735437,"about_ca_system_score_gemma":0.00009806131,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009019697,"about_ca_topic_score_gemma":0.0002171589,"domain_scores_codex":[0.9985605,0.000142021,0.0002566296,0.0003651903,0.0003832895,0.0002923721],"domain_scores_gemma":[0.9989133,0.000460114,0.00009793508,0.0002602182,0.00002894217,0.0002394357],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00008300907,0.0011653,0.01020006,0.003011437,0.0002558877,0.006628278,0.8142963,0.00001058946,0.0004759874,0.0602029,0.01292186,0.09074841],"study_design_scores_gemma":[0.008071121,0.01469143,0.002517612,0.001516279,0.00003693205,0.008511542,0.4482091,0.01909464,0.01628783,0.4518723,0.02821934,0.0009719258],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.951152,0.0004874339,0.04631722,0.0008681267,0.00006115592,0.0004276983,0.00002684202,0.0005123863,0.0001471605],"genre_scores_gemma":[0.9989995,0.0003947262,0.0003403686,0.0002032189,0.00001210679,0.00001310546,0.000001497557,0.000007854581,0.0000276002],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3916694,"threshold_uncertainty_score":0.5685142,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1014858435236999,"score_gpt":0.3526348727995448,"score_spread":0.2511490292758449,"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."}}