{"id":"W2899374547","doi":"10.1002/nem.2049","title":"User identification via neural network based language models","year":2018,"lang":"en","type":"article","venue":"International Journal of Network Management","topic":"Spam and Phishing Detection","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Public Safety Canada; Defence Research and Development Canada","keywords":"Computer science; Identification (biology); Phishing; Artificial neural network; Language model; Artificial intelligence; Machine learning; ALARM; Natural language processing; Computer security; World Wide Web; The Internet","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00171028,0.0009301034,0.0006007616,0.001660585,0.0004106027,0.001197197,0.0006839689,0.0009075311,0.00206977],"category_scores_gemma":[0.006929747,0.0003290834,0.0007705314,0.000772295,0.0004317019,0.001646695,0.00063999,0.001466748,0.001180876],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001343998,"about_ca_system_score_gemma":0.0005938926,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01139856,"about_ca_topic_score_gemma":0.007768177,"domain_scores_codex":[0.9989748,0.000474383,0.00006454197,0.0002235691,0.0001439344,0.0001187749],"domain_scores_gemma":[0.9945927,0.004149014,0.0003429018,0.0001926063,0.0006416292,0.0000810774],"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":[0.0008291184,0.0005604347,0.01860822,0.000117659,0.0002352715,0.0003074837,0.0002967075,0.7240723,0.005900011,0.004043834,0.004092028,0.240937],"study_design_scores_gemma":[0.000001416855,0.00001099278,0.0003393218,0.000003131537,0.000004783963,0.00001161535,0.000008783979,0.9984838,0.0003660164,0.0007133327,0.00005259637,0.000004169392],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5734506,0.0007940533,0.4121647,0.00198499,0.0002153536,0.0001794236,0.0009645149,0.002755441,0.007490961],"genre_scores_gemma":[0.9679946,0.0001290641,0.02801528,0.0001246538,0.00005350689,0.00006067041,0.0004470299,0.00003035971,0.00314485],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01139856,"threshold_uncertainty_score":0.02266443,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0135949337805106,"score_gpt":0.2589805654666247,"score_spread":0.2453856316861141,"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."}}