{"id":"W2127229466","doi":"10.5555/2337223.2337257","title":"Automated repair of HTML generation errors in PHP applications using string constraint solving","year":2012,"lang":"en","type":"article","venue":"","topic":"Web Application Security Vulnerabilities","field":"Computer Science","cited_by":97,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Plug-in; String (physics); Programming language; Constraint (computer-aided design); Test suite; HTML element; Suite; Constant (computer programming); Web application; Information retrieval; Web page; Software engineering; Test case; World Wide Web; Mathematics; Machine learning","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":[0.002064341,0.001022726,0.0004969974,0.0009389924,0.0006832887,0.0009440859,0.001476681,0.00112318,0.004278546],"category_scores_gemma":[0.01242683,0.0004929216,0.0006721427,0.0008383883,0.000862487,0.00109099,0.001340643,0.001246311,0.001015416],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006448572,"about_ca_system_score_gemma":0.001442755,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003366534,"about_ca_topic_score_gemma":0.002364619,"domain_scores_codex":[0.9980764,0.0005788347,0.0001875484,0.0003701708,0.0006046176,0.0001823364],"domain_scores_gemma":[0.9889634,0.007553125,0.0009423007,0.001448202,0.0009687913,0.0001241593],"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":[0.000688888,0.000834618,0.01916294,0.001054767,0.0001618915,0.002645225,0.001007757,0.2898516,0.09802682,0.01445957,0.02260712,0.5494988],"study_design_scores_gemma":[0.0001185164,0.0001463322,0.002242976,0.000071879,0.00005279776,0.0007339206,0.0001431079,0.8191918,0.1588968,0.008580979,0.00977005,0.00005080087],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1387259,0.0001522552,0.799338,0.0005562879,0.00006657388,0.0003653358,0.001015748,0.05520378,0.004576048],"genre_scores_gemma":[0.4379409,0.0001125376,0.5553204,0.0001598009,0.00002083548,0.0001654387,0.001482808,0.002699253,0.002098036],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004278546,"threshold_uncertainty_score":0.01431316,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05199819808543812,"score_gpt":0.3071029673659547,"score_spread":0.2551047692805166,"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."}}