{"id":"W1195164730","doi":"","title":"Phishing Attacks Over Time: A Longitudinal Study","year":2015,"lang":"en","type":"article","venue":"Journal of the Association for Information Systems","topic":"Spam and Phishing Detection","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Phishing; Persuasion; Computer science; Categorization; Computer security; Internet privacy; World Wide Web; The Internet; Artificial intelligence; Psychology; Social 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004217728,0.0000734194,0.0001685361,0.0001472849,0.0001572833,0.0007767396,0.0005686591,0.00006458069,6.69532e-7],"category_scores_gemma":[0.0009315506,0.00005069567,0.0001241307,0.0003490697,0.000003438231,0.004307146,0.00006597225,0.0001458029,0.00003519568],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006666892,"about_ca_system_score_gemma":0.000120792,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002796506,"about_ca_topic_score_gemma":0.000002528108,"domain_scores_codex":[0.9981248,0.0001447748,0.0006506784,0.00004954005,0.0009087895,0.0001214049],"domain_scores_gemma":[0.9964719,0.0001506972,0.002033999,0.0001877752,0.001091842,0.00006376639],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001877055,0.0003187048,0.5574668,0.00008317989,0.0007668801,0.000001720315,0.04742539,0.03311512,0.00009149621,0.009790299,0.3461473,0.004605377],"study_design_scores_gemma":[0.01147939,0.001894454,0.347798,0.000265008,0.0002527696,0.000269476,0.003930043,0.1978158,0.0002676835,0.00191261,0.4334176,0.0006970831],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5517011,0.0001776189,0.4005293,0.003008114,0.03144132,0.002583555,0.00002507905,0.0002236792,0.01031024],"genre_scores_gemma":[0.9986838,5.308266e-7,0.0002635425,0.00007737973,0.0003513234,0.000007870502,8.646812e-7,0.000003296627,0.0006113909],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4469827,"threshold_uncertainty_score":0.7490118,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03574993454946061,"score_gpt":0.2776500184602718,"score_spread":0.2419000839108111,"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."}}