{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003554743,0.001528501,0.00121769,0.01558513,0.0006241823,0.003314484,0.0008738264,0.001613203,0.00514699],"category_scores_gemma":[0.02103808,0.0002487176,0.0007447334,0.009505338,0.0006737833,0.004805562,0.001433276,0.001051925,0.006449517],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008324264,"about_ca_system_score_gemma":0.0007627619,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002991237,"about_ca_topic_score_gemma":0.002716799,"domain_scores_codex":[0.9950205,0.0008026662,0.0008472494,0.0005034323,0.002529075,0.0002970242],"domain_scores_gemma":[0.9795949,0.006859657,0.003622685,0.001185405,0.007851948,0.0008854388],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001632291,0.001125594,0.400374,0.002355906,0.0004003843,0.0006502828,0.002028702,0.009157542,0.02927269,0.007224896,0.0568253,0.4889524],"study_design_scores_gemma":[0.0001778558,0.003373272,0.5771668,0.000602391,0.0004317678,0.00372687,0.006990615,0.2171573,0.05482285,0.009293566,0.1257114,0.00054538],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7688555,0.006262911,0.1098314,0.001390613,0.001180383,0.001358488,0.03474361,0.01380597,0.06257109],"genre_scores_gemma":[0.8758558,0.0009414387,0.09065033,0.0002289383,0.0002173419,0.000557459,0.02346619,0.0003655184,0.007716963],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01558513,"threshold_uncertainty_score":0.01879954,"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."}}