{"id":"W4412014546","doi":"10.18280/isi.300510","title":"Phishing URL Detection Using Deep Learning: A Resilient Approach to Mitigating Emerging Cybersecurity Threats","year":2025,"lang":"en","type":"article","venue":"Ingénierie des systèmes d information","topic":"Spam and Phishing Detection","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Phishing; Computer security; Computer science; Internet privacy; Data science; World Wide Web; The Internet","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":[0.0007318876,0.001002981,0.0005732949,0.001276272,0.0003164067,0.0007917092,0.0008341741,0.0008571146,0.0009616172],"category_scores_gemma":[0.002005047,0.0003496229,0.0004984216,0.0006581384,0.0004721122,0.001621395,0.00122063,0.001272325,0.0005140821],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007840949,"about_ca_system_score_gemma":0.0008917578,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004365533,"about_ca_topic_score_gemma":0.00575801,"domain_scores_codex":[0.9995987,0.00007828882,0.0000252712,0.0001000968,0.0001039738,0.00009368898],"domain_scores_gemma":[0.9992459,0.0002081822,0.0001550389,0.0001276258,0.0002031723,0.00006006041],"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":[0.0003388735,0.0005655947,0.01566075,0.0002255043,0.0001787495,0.0003371647,0.0001498122,0.3000732,0.0422115,0.004265473,0.007015,0.6289783],"study_design_scores_gemma":[0.000003824417,0.00006778385,0.0009710185,0.00001366766,0.00001996635,0.00004353875,0.00001655717,0.9910835,0.005229692,0.001938169,0.0006037762,0.000008484962],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2832229,0.003132798,0.7005532,0.001643133,0.0001882508,0.0001287236,0.0003568058,0.005435518,0.00533878],"genre_scores_gemma":[0.9421792,0.0008371096,0.05296291,0.000300781,0.00007316119,0.00003756704,0.0004644942,0.00004933631,0.003095447],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004365533,"threshold_uncertainty_score":0.008680224,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01614966110106428,"score_gpt":0.2491242612582201,"score_spread":0.2329746001571558,"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."}}