{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004671118,0.0002801485,0.0005739472,0.001687698,0.002260376,0.001865147,0.0005016957,0.001107619,0.002228369],"category_scores_gemma":[0.01504668,0.0004692347,0.0005568179,0.001703447,0.0006118605,0.002622263,0.001572056,0.002536647,0.001017701],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005990186,"about_ca_system_score_gemma":0.0007046571,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009653075,"about_ca_topic_score_gemma":0.01317966,"domain_scores_codex":[0.9983611,0.000661009,0.0001540351,0.0002241403,0.0002889872,0.0003107728],"domain_scores_gemma":[0.9872089,0.002865464,0.004608296,0.001323538,0.001847998,0.002145783],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001081399,0.0004756098,0.9898452,0.00001479959,0.00004769922,0.0001228291,0.00491115,0.00003449372,0.0001775457,0.0001005552,0.0003469119,0.003815196],"study_design_scores_gemma":[0.000007009798,0.0005583861,0.9908872,0.00003015787,0.00003751661,0.0002694674,0.006571881,0.0002399698,0.0001372508,0.0001458446,0.001093948,0.00002135024],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988425,0.0001441816,0.0001567387,0.0001602911,0.00001117867,0.00002566874,0.0002584081,0.000004554212,0.0003964352],"genre_scores_gemma":[0.9980859,0.0001771679,0.0002454938,0.0001130148,0.00002177521,0.00005399226,0.0004810966,0.000005479832,0.0008161188],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009653075,"threshold_uncertainty_score":0.0247035,"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."}}