{"id":"W4285247384","doi":"10.54941/ahfe1002195","title":"A Metric to Assist in Detecting International Phishing or Ransomware Cyberattacks","year":2022,"lang":"en","type":"article","venue":"AHFE international","topic":"Spam and Phishing Detection","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Phishing; Ransomware; Malware; Computer security; The Internet; Government (linguistics); Computer science; Botnet; Levenshtein distance; Internet privacy; Business; World Wide Web; Artificial intelligence","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":[0.0007156142,0.0001288355,0.0001212184,0.0009664162,0.0002363327,0.0004039832,0.001745524,0.00003567086,0.0007428171],"category_scores_gemma":[0.0005502121,0.0001350682,0.00007323061,0.001283705,0.000009619121,0.0007388756,0.0007839971,0.0003867456,0.00005227515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006598326,"about_ca_system_score_gemma":0.00008375886,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003746804,"about_ca_topic_score_gemma":0.0003408371,"domain_scores_codex":[0.9980342,0.0001002919,0.0003311525,0.0004663817,0.0008416284,0.0002263485],"domain_scores_gemma":[0.9992108,0.0002470908,0.0001109233,0.0002428371,0.0001134083,0.00007494837],"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":[0.0007642297,0.0008044171,0.07906733,0.00001922829,0.0003111668,0.0007680818,0.01201299,0.06598262,0.006015311,0.02054679,0.01249215,0.8012157],"study_design_scores_gemma":[0.003694208,0.0006053942,0.1094028,0.0001298098,0.00001627765,0.0007251369,0.001185135,0.3866392,0.005736425,0.005428921,0.4850299,0.001406721],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3982672,0.00007477667,0.5460075,0.01787234,0.01936798,0.000456441,0.00005189337,0.0004947353,0.01740715],"genre_scores_gemma":[0.9878529,0.000002250388,0.009129401,0.001521776,0.000332927,0.0001246644,0.00001345135,0.00001348,0.001009108],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.799809,"threshold_uncertainty_score":0.8133326,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02342403849003893,"score_gpt":0.2909868762680797,"score_spread":0.2675628377780407,"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."}}