{"id":"W2026740268","doi":"10.1109/cict.2015.63","title":"Towards Developing a Tool to Detect Phishing URLs: A Machine Learning Approach","year":2015,"lang":"en","type":"article","venue":"","topic":"Spam and Phishing Detection","field":"Computer Science","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Phishing; Identity theft; Computer science; Internet privacy; Computer security; Masking (illustration); Online identity; World Wide Web; Identity (music); The Internet","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002824827,0.000949906,0.001015068,0.003339107,0.0007906782,0.002211958,0.001758304,0.003220927,0.001517027],"category_scores_gemma":[0.005928,0.0005212814,0.0009663518,0.001336491,0.0006789998,0.002771905,0.001154774,0.00213562,0.001675413],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005941316,"about_ca_system_score_gemma":0.001546677,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002072283,"about_ca_topic_score_gemma":0.002291291,"domain_scores_codex":[0.998714,0.0003782733,0.0001200403,0.0002734087,0.0003935387,0.0001208474],"domain_scores_gemma":[0.9969965,0.001382193,0.0002354249,0.0002761325,0.0009288376,0.0001808436],"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":[0.0001805689,0.002333977,0.02206503,0.0004283962,0.0002326278,0.0004324691,0.0003827999,0.05770725,0.03816765,0.01251526,0.007610545,0.8579434],"study_design_scores_gemma":[0.00002802564,0.0001787014,0.001661023,0.00004502609,0.00004103912,0.0001864202,0.0001176983,0.972088,0.0128033,0.008069647,0.004747313,0.00003380502],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0195099,0.0003453601,0.9744802,0.001083903,0.00006514134,0.0002965887,0.000109552,0.002866202,0.001243168],"genre_scores_gemma":[0.1461637,0.0003422816,0.8500384,0.0004928724,0.00008488312,0.0002210579,0.0003701773,0.00007930652,0.002207385],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003339107,"threshold_uncertainty_score":0.01493931,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0540865094589325,"score_gpt":0.2617891318689984,"score_spread":0.2077026224100659,"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."}}