{"id":"W7106318352","doi":"10.5281/zenodo.17658119","title":"Ransomware Readiness Assessment Tool","year":2025,"lang":"","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Advanced Malware Detection Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ransomware; Extortion; Phishing; Cyberwarfare; Evasion (ethics); Data breach; Cybercrime; Malware; Covert; Critical infrastructure","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":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001371089,0.0003980197,0.0003899851,0.0008385586,0.00505363,0.003111442,0.003934446,0.0002048706,0.009289927],"category_scores_gemma":[0.0007763976,0.0004695266,0.0001540329,0.002890072,0.0003460151,0.001244016,0.004958509,0.000815685,0.003736887],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007944462,"about_ca_system_score_gemma":0.00003314316,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001612461,"about_ca_topic_score_gemma":2.592415e-7,"domain_scores_codex":[0.9956381,0.0008219485,0.0007276617,0.001305093,0.0007127114,0.0007945372],"domain_scores_gemma":[0.9957724,0.00006975258,0.0002751201,0.001786291,0.001878552,0.0002178362],"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":[0.00006234961,0.0002655683,0.000002011233,0.000223603,0.00008485459,0.00002855903,0.0004881123,0.0001432624,0.002874216,0.09626728,0.112325,0.7872351],"study_design_scores_gemma":[0.0007833565,0.000368729,0.0004196342,0.0002318616,0.00003262863,0.00009954896,0.000178966,0.007796583,0.005281637,0.003134712,0.9812103,0.0004620373],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0005002229,0.0001822308,0.8181173,0.002137853,0.0006210197,0.000998421,0.0001290137,0.002706912,0.174607],"genre_scores_gemma":[0.9333197,0.001182238,0.04097339,0.001586844,0.000415518,7.290499e-7,0.0008813213,0.003437277,0.01820301],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9328195,"threshold_uncertainty_score":0.9997756,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02191355596167677,"score_gpt":0.2886926387286468,"score_spread":0.26677908276697,"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."}}