{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001577679,0.0006527375,0.000606823,0.00107971,0.0007535761,0.001864077,0.001111157,0.001037011,0.00303316],"category_scores_gemma":[0.006454151,0.0004835687,0.0004260308,0.000890133,0.001067831,0.003644605,0.003614929,0.00188473,0.002631593],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005172131,"about_ca_system_score_gemma":0.0007344004,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006175507,"about_ca_topic_score_gemma":0.000569588,"domain_scores_codex":[0.9981499,0.0003420122,0.0002401089,0.0002889294,0.0007351136,0.0002440229],"domain_scores_gemma":[0.9925739,0.001499991,0.000555835,0.004083419,0.001107356,0.0001794253],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001013428,0.0003449679,0.008974961,0.001191622,0.0001296728,0.002796774,0.002815886,0.00692442,0.2190046,0.1282607,0.02597179,0.6025711],"study_design_scores_gemma":[0.0001053816,0.0004788778,0.005284943,0.0006473799,0.0002732563,0.005536302,0.0003885815,0.07070366,0.3971711,0.1025457,0.4166402,0.0002246249],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1776088,0.004709754,0.7041373,0.001452208,0.0007550886,0.000314267,0.0007305579,0.05666544,0.05362668],"genre_scores_gemma":[0.7581072,0.003816222,0.1927319,0.001502704,0.0003987451,0.000370841,0.001483332,0.004807848,0.03678115],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00303316,"threshold_uncertainty_score":0.01014692,"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."}}