{"id":"W2881446900","doi":"10.1109/noms.2018.8406317","title":"A language model for compromised user analysis","year":2018,"lang":"en","type":"article","venue":"","topic":"Spam and Phishing Detection","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Computer science; Phishing; Language model; Artificial neural network; Artificial intelligence; Natural language processing; Machine learning; Computer security; World Wide Web; The Internet","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":[0.002330294,0.001032707,0.0009599677,0.001837292,0.0006150997,0.001360092,0.001333567,0.00124618,0.002820729],"category_scores_gemma":[0.008204065,0.0004546753,0.001329641,0.001143384,0.0005784844,0.00246104,0.001038586,0.002074068,0.002313158],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001409625,"about_ca_system_score_gemma":0.001274668,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009329459,"about_ca_topic_score_gemma":0.007328201,"domain_scores_codex":[0.9984188,0.0006986583,0.000132715,0.0003464593,0.0002508607,0.0001524443],"domain_scores_gemma":[0.9949099,0.00358189,0.0003094077,0.0003231933,0.0007573015,0.0001183051],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001108559,0.0006877983,0.01181717,0.0003650261,0.0004739907,0.0009845454,0.0007712788,0.5069667,0.01507714,0.03054658,0.01496867,0.4162325],"study_design_scores_gemma":[0.000005916862,0.00002035935,0.0002653956,0.000006592137,0.00001154459,0.00003691453,0.00001878796,0.9925068,0.0006088287,0.006023757,0.0004849974,0.00001011178],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08140326,0.0009311592,0.9067574,0.001364101,0.0002101814,0.0001785929,0.002264419,0.004169834,0.00272098],"genre_scores_gemma":[0.8173875,0.0005124593,0.1715671,0.0004984909,0.0002292201,0.0003704812,0.003370247,0.0002577055,0.005806972],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009329459,"threshold_uncertainty_score":0.01855034,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02178435593244975,"score_gpt":0.2747396591563899,"score_spread":0.2529553032239401,"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."}}