{"id":"W2942721864","doi":"10.5539/mas.v13n5p114","title":"Using Sequential Minimal Optimization for Phishing Attack Detection","year":2019,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"Spam and Phishing Detection","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Phishing; Computer science; Password; Confidentiality; Hacker; Computer security; The Internet; Credit card; Exploit; Information sensitivity; Personally identifiable information; World Wide Web; Internet privacy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009421186,0.001154545,0.001496029,0.001073032,0.0005230999,0.0007445861,0.0008744149,0.001051694,0.0032715],"category_scores_gemma":[0.002653062,0.0006823943,0.001221201,0.0007055115,0.0006213579,0.0007662625,0.000705217,0.001138636,0.0004295284],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007122576,"about_ca_system_score_gemma":0.002201522,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01504786,"about_ca_topic_score_gemma":0.01236388,"domain_scores_codex":[0.9994043,0.0001709022,0.00004276451,0.0001354039,0.0001171689,0.0001294889],"domain_scores_gemma":[0.9988932,0.0007613079,0.00008371796,0.00004849967,0.000166602,0.00004672885],"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":[0.0003783391,0.0002031589,0.003125821,0.0002082508,0.0001619855,0.0001201066,0.00005346175,0.8765241,0.003301013,0.002480824,0.002480527,0.1109625],"study_design_scores_gemma":[0.00001370129,0.00006551365,0.0004401586,0.000007039029,0.00001416384,0.00001552632,0.00001325468,0.9972184,0.000448794,0.001422457,0.0003362003,0.000004821503],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1383633,0.001193138,0.8519599,0.000638068,0.0001292096,0.0002118437,0.0004417779,0.002233431,0.004829253],"genre_scores_gemma":[0.7297038,0.0003987877,0.263358,0.0003122854,0.00008244735,0.0002985819,0.001404791,0.000288355,0.004152991],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01504786,"threshold_uncertainty_score":0.02992052,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05586204057417798,"score_gpt":0.2894599161337247,"score_spread":0.2335978755595468,"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."}}