{"id":"W2797835509","doi":"10.1016/j.cose.2018.01.017","title":"If-transpiler: Inlining of hybrid flow-sensitive security monitor for JavaScript","year":2018,"lang":"en","type":"article","venue":"Computers & Security","topic":"Security and Verification in Computing","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria","funders":"","keywords":"JavaScript; Computer science; Unobtrusive JavaScript; Compiler; Source code; Web application; Computer security; Programming language; Rich Internet application; Operating system","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":[0.0008353828,0.001294559,0.000716305,0.0008286554,0.0004201312,0.001037163,0.001568279,0.0007053629,0.009533294],"category_scores_gemma":[0.002154132,0.0006524545,0.0007404757,0.000316366,0.0005456125,0.0018426,0.001144684,0.001222937,0.001794913],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006217654,"about_ca_system_score_gemma":0.0008708689,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001511566,"about_ca_topic_score_gemma":0.001598476,"domain_scores_codex":[0.9991749,0.0001275358,0.00006687082,0.000277198,0.0002235776,0.0001300086],"domain_scores_gemma":[0.9989352,0.0003688997,0.00009225924,0.0003787321,0.0001598597,0.00006506508],"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":[0.005574592,0.0005866408,0.01596659,0.001089712,0.000383131,0.001542188,0.001283015,0.02014426,0.2560645,0.01665818,0.06185647,0.6188507],"study_design_scores_gemma":[0.0004717323,0.0008488534,0.005462293,0.0001341257,0.0002634691,0.001119927,0.0001074542,0.3890765,0.5402642,0.01037947,0.05170456,0.0001674291],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0647949,0.0004178548,0.6979674,0.0001655253,0.0002576206,0.0002548813,0.0007682904,0.2299925,0.005381015],"genre_scores_gemma":[0.7373565,0.0002227048,0.2239046,0.0006018738,0.00009706277,0.0003057321,0.001683672,0.0216932,0.01413474],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009533294,"threshold_uncertainty_score":0.031892,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0196261820109473,"score_gpt":0.2664253516145809,"score_spread":0.2467991696036336,"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."}}