{"id":"W2049326048","doi":"10.1109/saner.2015.7081852","title":"Protecting web applications via Unicode extension","year":2015,"lang":"en","type":"article","venue":"","topic":"Web Application Security Vulnerabilities","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Computer science; Unicode; Web application; Web application security; Computer security; Extension (predicate logic); Code (set theory); World Wide Web; Web service; Software engineering; Web development; Programming language; Set (abstract data type)","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":[0.000673509,0.00009060882,0.00009610101,0.00007071875,0.0001527472,0.0001136554,0.0006800974,0.00004709218,0.00001337865],"category_scores_gemma":[0.00007445502,0.00008226528,0.00002825534,0.0004506235,0.00004047396,0.0003767122,0.0002877521,0.0001532589,0.0004878097],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005956909,"about_ca_system_score_gemma":0.0001247091,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003981364,"about_ca_topic_score_gemma":0.00001741114,"domain_scores_codex":[0.998915,0.00007677689,0.0001953218,0.0003725915,0.0002618892,0.0001784296],"domain_scores_gemma":[0.9984812,0.00009350321,0.0000630634,0.0009567878,0.0002586389,0.0001468272],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00000302802,0.0001433775,0.0002157883,0.00001673013,0.000006936685,9.837235e-7,0.001547174,0.0002163071,0.01351981,0.9116666,0.003839039,0.0688242],"study_design_scores_gemma":[0.0005545347,0.00007328286,0.0002147903,0.000009008289,0.000004398377,0.0000596434,0.0005943261,0.3669808,0.02035327,0.2411637,0.3695365,0.0004556926],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003897893,0.00004764568,0.9744196,0.003044544,0.0000502766,0.0005795674,5.593296e-7,0.0006782031,0.01728173],"genre_scores_gemma":[0.8281008,0.000001381499,0.1701714,0.0004358655,0.00007246314,0.000483994,0.000001539295,0.000007909541,0.0007246871],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8242029,"threshold_uncertainty_score":0.626997,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04470614869721218,"score_gpt":0.2784226297804513,"score_spread":0.2337164810832392,"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."}}