{"id":"W2607980907","doi":"10.1002/smr.1871","title":"Protecting Internet users from becoming victimized attackers of click‐fraud","year":2017,"lang":"en","type":"article","venue":"Journal of Software Evolution and Process","topic":"Advanced Malware Detection Techniques","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Statistics Canada; Nicolet Chartrand Knoll (Canada); Queen's University","funders":"Mitacs","keywords":"Computer science; Computer security; Botnet; Mobile device; The Internet; Service (business); Overhead (engineering); Service provider; Cloud computing; World Wide Web; Operating system","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0005389435,0.0001240658,0.0002862306,0.0001697321,0.0002756136,0.000145564,0.0007353201,0.00008870149,0.000009245258],"category_scores_gemma":[0.001207941,0.0001114223,0.00008351756,0.0001029497,0.00009524533,0.00169606,0.0001704926,0.000354987,0.000001137082],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007810912,"about_ca_system_score_gemma":0.00009220375,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008875579,"about_ca_topic_score_gemma":0.00001358652,"domain_scores_codex":[0.9988547,0.00005562106,0.0004791621,0.0001923605,0.0002713689,0.0001468012],"domain_scores_gemma":[0.9974452,0.00013956,0.001565703,0.0002892741,0.0004689912,0.00009131298],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001651409,0.0004471572,0.2459091,0.0009788098,0.0005774703,0.0001146486,0.0185234,0.00136799,0.01217419,0.001209051,0.001760108,0.7152867],"study_design_scores_gemma":[0.01368389,0.003246549,0.1844103,0.005915374,0.0002571938,0.001265189,0.003550726,0.04493892,0.5594999,0.1752597,0.005606567,0.002365572],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2044381,0.0002263334,0.7946599,0.000183942,0.0002807234,0.0001027318,0.000002030925,0.00008123217,0.00002494795],"genre_scores_gemma":[0.8241729,0.00002789456,0.1756523,0.00003718692,0.00007244504,0.000004495441,2.101793e-7,0.00000832087,0.0000243077],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7129211,"threshold_uncertainty_score":0.4543669,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02155169574846229,"score_gpt":0.3038782731123609,"score_spread":0.2823265773638986,"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."}}