{"id":"W3198713703","doi":"10.1109/coins51742.2021.9524269","title":"Malicious URL Detection using Logistic Regression","year":2021,"lang":"en","type":"article","venue":"","topic":"Spam and Phishing Detection","field":"Computer Science","cited_by":56,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brandon University","funders":"","keywords":"Computer science; The Internet; Set (abstract data type); Logistic regression; Computer security; Malware; Web application security; World Wide Web; Machine learning; Web development","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001118518,0.00006625018,0.00006634334,0.0000491999,0.0001486259,0.0001448035,0.0001511997,0.0000560016,0.00003569737],"category_scores_gemma":[0.00007259154,0.00005631156,0.00003610693,0.0003578844,0.00001087384,0.0002518872,0.00009955877,0.00008395814,0.00004203658],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005071975,"about_ca_system_score_gemma":0.00003503589,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001324061,"about_ca_topic_score_gemma":0.000065947,"domain_scores_codex":[0.9993348,0.00005736577,0.00009794875,0.0002411891,0.0001399867,0.0001286726],"domain_scores_gemma":[0.9995019,0.0000348447,0.00003756157,0.0003099524,0.00007247433,0.00004326103],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001411082,0.0001062876,0.0009930331,0.00003485449,0.00002361335,0.0002378375,0.0005123308,0.002037341,0.6645503,0.01507447,0.0004793914,0.3159364],"study_design_scores_gemma":[0.0002049288,0.00005885019,0.00248673,0.00003468052,0.000007941115,0.0004232992,0.00003177853,0.4649734,0.5218485,0.006819906,0.002904379,0.0002056124],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1325056,0.00008620339,0.8640735,0.0001487734,0.001032226,0.00002671965,1.239742e-7,0.0002091317,0.001917748],"genre_scores_gemma":[0.976959,0.000005766702,0.02215242,0.0002034213,0.0001072509,0.000001321198,4.774145e-7,0.000004415293,0.0005659361],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8444533,"threshold_uncertainty_score":0.2296319,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06063518242347787,"score_gpt":0.2927865376594185,"score_spread":0.2321513552359406,"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."}}