{"id":"W4405242723","doi":"10.4108/eetsis.6109","title":"Enhancing Spear Phishing Defense with AI: A Comprehensive Review and Future Directions","year":2024,"lang":"en","type":"review","venue":"ICST Transactions on Scalable Information Systems","topic":"Spam and Phishing Detection","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Canada West","funders":"","keywords":"Spear; Phishing; Computer security; Computer science; World Wide Web; The Internet; History; Archaeology","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":[0.001799337,0.001009038,0.00143797,0.003681415,0.0003876535,0.001896883,0.001144161,0.001758585,0.003891461],"category_scores_gemma":[0.004075836,0.000509389,0.0008601365,0.003786936,0.0006854609,0.00263423,0.0009047221,0.001856071,0.001817166],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008018643,"about_ca_system_score_gemma":0.002983081,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001725142,"about_ca_topic_score_gemma":0.002440338,"domain_scores_codex":[0.9995304,0.0001041035,0.000071482,0.00009153103,0.0001582326,0.00004421646],"domain_scores_gemma":[0.9956826,0.003060539,0.0003242717,0.00008981337,0.0007095827,0.000133218],"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":[0.00005828299,0.0001051198,0.0003278692,0.04196671,0.0001645477,0.00008875659,0.0001660138,0.0006075497,0.000758842,0.007063947,0.01755214,0.9311402],"study_design_scores_gemma":[0.00002796049,0.0002468862,0.001329299,0.02783062,0.0005288255,0.0004902967,0.0002622644,0.0003782209,0.0006654332,0.005812875,0.9623791,0.00004822992],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001257426,0.9981999,0.0002175792,0.0004404646,0.0001096981,0.000007492612,0.00001497066,0.00001009898,0.0008739874],"genre_scores_gemma":[0.001018426,0.9979785,0.0003180516,0.0003201327,0.0001201906,0.0000116177,0.0000237933,0.00000286085,0.0002063866],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003891461,"threshold_uncertainty_score":0.01301825,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0232265321182389,"score_gpt":0.2734323290860253,"score_spread":0.2502057969677864,"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."}}