{"id":"W4280642091","doi":"10.1016/j.eswa.2022.117553","title":"COVID-19 malicious domain names classification","year":2022,"lang":"en","type":"article","venue":"Expert Systems with Applications","topic":"Spam and Phishing Detection","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Phishing; Computer science; Computer security; Internet privacy; Commit; Malware; Domain (mathematical analysis); The Internet; Order (exchange); Credit card; Password; Heuristics; Information sensitivity; Personally identifiable information; World Wide Web; Business; Payment","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":[0.001064644,0.001262062,0.0007305096,0.004202777,0.001092975,0.001416031,0.001045708,0.001336938,0.002410079],"category_scores_gemma":[0.005339669,0.0001548657,0.0008102966,0.001554192,0.0004918618,0.001630009,0.001125194,0.001258722,0.004121797],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009266796,"about_ca_system_score_gemma":0.0009985594,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006010537,"about_ca_topic_score_gemma":0.00724427,"domain_scores_codex":[0.9983858,0.0002058161,0.0001587878,0.0003308001,0.0006527269,0.0002661549],"domain_scores_gemma":[0.9971241,0.0007917526,0.0005087566,0.0004589689,0.000803254,0.0003131409],"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":[0.00172668,0.00167634,0.2867465,0.001352878,0.0003156344,0.003130543,0.000531108,0.06330017,0.02810098,0.004857071,0.1210184,0.4872437],"study_design_scores_gemma":[0.00005420282,0.000400688,0.08744817,0.0001948879,0.0001126449,0.003764039,0.0007418953,0.8236187,0.03710783,0.002864843,0.04358146,0.0001106182],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.89521,0.00428667,0.04084262,0.001355485,0.001149157,0.0008589323,0.02394309,0.008406314,0.02394774],"genre_scores_gemma":[0.9232992,0.0007333878,0.02482678,0.0002631473,0.0002143513,0.0001909181,0.04291455,0.0001243188,0.007433353],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006010537,"threshold_uncertainty_score":0.01195109,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02595288513258339,"score_gpt":0.2735860421684695,"score_spread":0.2476331570358861,"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."}}