{"id":"W4406892885","doi":"10.1109/csnet64211.2024.10851753","title":"Chat or Trap? Detecting Scams in Messaging Applications with Large Language Models","year":2024,"lang":"en","type":"article","venue":"","topic":"Spam and Phishing Detection","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Trap (plumbing); Computer science; Instant messaging; World Wide Web; Internet privacy; Computer security; Physics","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":[0.002047696,0.0009107444,0.0006028317,0.00211589,0.0007583339,0.001325055,0.0007243583,0.001326207,0.0009576684],"category_scores_gemma":[0.01061023,0.0002368174,0.0007463703,0.0009531766,0.0004276371,0.002443003,0.001355791,0.00148459,0.001435885],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006217355,"about_ca_system_score_gemma":0.0007138695,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004913128,"about_ca_topic_score_gemma":0.009717076,"domain_scores_codex":[0.9978092,0.001137729,0.00018268,0.0003991274,0.00030196,0.0001691897],"domain_scores_gemma":[0.9922858,0.005252694,0.0007649726,0.0007542647,0.0006408154,0.0003014549],"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":[0.002586621,0.002003013,0.3523543,0.002944118,0.0005218338,0.003678248,0.009999754,0.03335249,0.04500365,0.005492896,0.07258592,0.4694772],"study_design_scores_gemma":[0.00009572826,0.0008259122,0.1272059,0.000285804,0.0002114056,0.002008183,0.007245062,0.7985409,0.02238829,0.009189808,0.03183797,0.0001649367],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9385632,0.002034805,0.04032506,0.001577509,0.0001916462,0.0002518916,0.009168606,0.004440817,0.003446517],"genre_scores_gemma":[0.945699,0.0004243551,0.03118932,0.0003031129,0.0001274587,0.0002022467,0.01960227,0.0001293678,0.002322934],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004913128,"threshold_uncertainty_score":0.01082939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01514962120186019,"score_gpt":0.2584220733025996,"score_spread":0.2432724521007394,"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."}}