{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006548023,0.00006776944,0.0001159343,0.0002409488,0.00007655931,0.00006632569,0.000465306,0.00002482415,0.00001337611],"category_scores_gemma":[0.00003893767,0.00007341867,0.00005810978,0.0001381203,0.00001025447,0.0007988956,0.0001314175,0.0002703126,8.84357e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000131292,"about_ca_system_score_gemma":0.00003397396,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003336694,"about_ca_topic_score_gemma":7.706541e-7,"domain_scores_codex":[0.9989637,0.00003625897,0.0003619182,0.0001011283,0.0004564967,0.00008051289],"domain_scores_gemma":[0.9994379,0.00004985556,0.0002076994,0.00008354639,0.0001627288,0.00005827154],"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":[0.0001484449,0.0002011397,0.001043215,0.00003073632,0.0002402679,0.00007926311,0.01032883,0.8979123,0.02981321,0.01519052,0.00002218279,0.04498989],"study_design_scores_gemma":[0.000274443,0.0001954272,0.001342032,0.00004544914,0.000009724558,0.0006433641,0.0001506407,0.9904574,0.003222162,0.001042986,0.002541841,0.00007459398],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2626612,0.0002799529,0.7344275,0.0001708373,0.002372497,0.00003028359,0.00001612828,0.00002223878,0.00001940063],"genre_scores_gemma":[0.9907315,0.00009777263,0.008865274,0.00002599205,0.0002700927,5.062761e-7,0.000002324029,0.00000526003,0.000001308381],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7280703,"threshold_uncertainty_score":0.2993926,"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."}}