{"id":"W4312359202","doi":"10.4018/ijsppc.311060","title":"Individual Processing of Phishing Emails","year":2022,"lang":"en","type":"article","venue":"International Journal of Security and Privacy in Pervasive Computing","topic":"Spam and Phishing Detection","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Phishing; Hacker; Heuristics; Deception; Cybercrime; Computer science; Social engineering (security); Computer security; Vulnerability (computing); Field (mathematics); Internet privacy; Prejudice (legal term); The Internet; World Wide Web; Psychology","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":[0.001454088,0.0003588105,0.0004116583,0.001322823,0.0006539246,0.001497797,0.0002831511,0.0007599196,0.002861497],"category_scores_gemma":[0.01177931,0.0001961037,0.0002953961,0.0004418254,0.0002918474,0.0009070643,0.0007632403,0.0004380111,0.001022069],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003400706,"about_ca_system_score_gemma":0.0003606225,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008086798,"about_ca_topic_score_gemma":0.0008331386,"domain_scores_codex":[0.9987041,0.0005083831,0.00008947049,0.0002721436,0.0002664689,0.0001593977],"domain_scores_gemma":[0.9930027,0.00326068,0.001088093,0.001023507,0.001271587,0.0003534469],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001777751,0.001330575,0.5404925,0.0004417953,0.000308011,0.0007823081,0.00990223,0.008692093,0.07248339,0.005396415,0.001554549,0.3568384],"study_design_scores_gemma":[0.00005025013,0.002694749,0.7660726,0.0001482762,0.0002484291,0.001722844,0.006824085,0.1459202,0.05595903,0.01351028,0.006662348,0.0001868182],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.985437,0.0001012014,0.009798656,0.00007335019,0.00001202149,0.0001335502,0.00009827601,0.0001805727,0.004165497],"genre_scores_gemma":[0.9909981,0.00004692464,0.006855914,0.00003613555,0.00001174609,0.00002915494,0.00009811858,0.00001744418,0.001906359],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002861497,"threshold_uncertainty_score":0.009572685,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02207960419356916,"score_gpt":0.2809502132922479,"score_spread":0.2588706090986788,"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."}}