{"id":"W4386838570","doi":"10.18280/ria.370422","title":"Multi-Modal Deep Learning for Effective Malicious Webpage Detection","year":2023,"lang":"en","type":"article","venue":"Revue d intelligence artificielle","topic":"Spam and Phishing Detection","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Web page; Computer science; JavaScript; Malware; Deep learning; Feature (linguistics); Artificial intelligence; Machine learning; Information retrieval; Data mining; World Wide Web; Computer security","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":[0.0006767926,0.0006659888,0.0004652971,0.0009675868,0.0002421871,0.0005436075,0.0005813271,0.0007111771,0.001076204],"category_scores_gemma":[0.001554025,0.0002791849,0.0004839755,0.0004682566,0.0003803381,0.001073134,0.0007730685,0.001138932,0.0003898223],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006403847,"about_ca_system_score_gemma":0.0006085293,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003311985,"about_ca_topic_score_gemma":0.004472057,"domain_scores_codex":[0.9996449,0.0000841436,0.00001969576,0.0000652778,0.0001207932,0.00006522391],"domain_scores_gemma":[0.9995103,0.0001782142,0.00007599254,0.00005939469,0.0001413603,0.00003471737],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003668101,0.0005438428,0.007057587,0.0001580932,0.0001334031,0.0002829517,0.0001301874,0.3278987,0.05278372,0.006063368,0.006636239,0.5979452],"study_design_scores_gemma":[0.000001479792,0.00001124074,0.0003152993,0.000003210076,0.00000409475,0.00001544554,0.000004969985,0.9959872,0.002590545,0.0008936229,0.000169643,0.000003190628],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1063733,0.000687622,0.8870451,0.0004008118,0.000054851,0.00005398867,0.000148579,0.002853419,0.002382291],"genre_scores_gemma":[0.8604111,0.0003095281,0.1357878,0.0002686807,0.00004237222,0.00006158904,0.0003364426,0.00006541442,0.002717176],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003311985,"threshold_uncertainty_score":0.006585419,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03172869535004404,"score_gpt":0.2797017606152627,"score_spread":0.2479730652652186,"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."}}