{"id":"W4287095506","doi":"10.18280/ijsse.120312","title":"An Intelligent Prediction of Phishing URLs Using ML Algorithms","year":2022,"lang":"en","type":"article","venue":"International Journal of Safety and Security Engineering","topic":"Spam and Phishing Detection","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Phishing; Computer science; Machine learning; Computer security; World Wide Web; The Internet; Artificial intelligence","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":[0.002205828,0.001203668,0.001223022,0.004171155,0.0005385382,0.001975615,0.0009201764,0.001578546,0.00135315],"category_scores_gemma":[0.008192376,0.000440864,0.001101921,0.001702003,0.0003596581,0.001806814,0.0007089712,0.00189596,0.001632273],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007160113,"about_ca_system_score_gemma":0.0007574856,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005071371,"about_ca_topic_score_gemma":0.00311227,"domain_scores_codex":[0.998989,0.0003113499,0.0001102882,0.0002398222,0.0002335056,0.0001159212],"domain_scores_gemma":[0.9938251,0.004247589,0.000377808,0.0004025966,0.0009933307,0.0001536115],"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":[0.0007691297,0.001206951,0.06239337,0.0003056129,0.0003435935,0.0003074543,0.0002218155,0.4728173,0.005751091,0.002019571,0.009713645,0.4441505],"study_design_scores_gemma":[0.000006866722,0.00007253946,0.001874016,0.0000156093,0.00001768489,0.00004418098,0.00002258824,0.9951356,0.001562266,0.0008075944,0.0004319197,0.00000906933],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4842107,0.004729976,0.4853972,0.002608278,0.0005290605,0.000292983,0.00237401,0.0132297,0.006628176],"genre_scores_gemma":[0.8928611,0.0007990402,0.100455,0.0002356545,0.0002111042,0.00007929841,0.002231974,0.000111106,0.003015795],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005071371,"threshold_uncertainty_score":0.0116657,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01335357949992431,"score_gpt":0.2371505388993426,"score_spread":0.2237969593994183,"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."}}