{"id":"W3158115510","doi":"10.1016/j.matpr.2021.03.647","title":"Business email compromise (BEC) attacks","year":2021,"lang":"en","type":"article","venue":"Materials Today Proceedings","topic":"Spam and Phishing Detection","field":"Computer Science","cited_by":29,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Compromise; Phishing; Deception; Business; Cybercrime; Social engineering (security); Computer security; Quarter (Canadian coin); Internet privacy; Work (physics); The Internet; Computer science; Engineering; Psychology; World Wide Web; Political science","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":[0.001543288,0.0005879769,0.0005052427,0.003713948,0.002273008,0.002636691,0.000472601,0.002893303,0.008517087],"category_scores_gemma":[0.01049033,0.0003060554,0.0002831543,0.001967022,0.0006983152,0.002497386,0.001756773,0.001283946,0.005445095],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007247478,"about_ca_system_score_gemma":0.0005764406,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001026397,"about_ca_topic_score_gemma":0.001439176,"domain_scores_codex":[0.9961202,0.000782354,0.0001121625,0.0002558459,0.00230543,0.000423876],"domain_scores_gemma":[0.9898246,0.003304154,0.001968145,0.002008228,0.002185955,0.000708852],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001447529,0.00120841,0.1556682,0.0004159861,0.0002109646,0.004036545,0.002319137,0.004598883,0.03422934,0.03756365,0.09871374,0.6595877],"study_design_scores_gemma":[0.0001848435,0.002771068,0.229133,0.0008259247,0.0005415872,0.03220234,0.003643487,0.2212382,0.1577298,0.03159719,0.3198631,0.0002695927],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7508407,0.002810914,0.02512441,0.004835776,0.0006648387,0.0005348708,0.001195304,0.005241015,0.2087523],"genre_scores_gemma":[0.9714906,0.0005398777,0.006674374,0.000848246,0.0002308122,0.00004837755,0.0004911259,0.0001033147,0.0195733],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008517087,"threshold_uncertainty_score":0.02849251,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01323040657831083,"score_gpt":0.2174316933256258,"score_spread":0.2042012867473149,"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."}}