{"id":"W2564142338","doi":"10.1109/ccst.2007.4373470","title":"Securing Large Applications Against Command Injections","year":2007,"lang":"en","type":"article","venue":"","topic":"Web Application Security Vulnerabilities","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Software; Simple (philosophy); Software security assurance; Computer security; Field (mathematics); Software engineering; Information security; Programming language","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002445135,0.0007698961,0.0007264342,0.001079721,0.0008671262,0.001779581,0.001124114,0.001453695,0.001568065],"category_scores_gemma":[0.01482053,0.0003807356,0.0004706314,0.0005520554,0.002065612,0.003666689,0.002311738,0.001544468,0.0007448842],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005870627,"about_ca_system_score_gemma":0.001147474,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00046312,"about_ca_topic_score_gemma":0.0004429262,"domain_scores_codex":[0.996924,0.0008339796,0.0002643229,0.0003544942,0.00133479,0.0002883605],"domain_scores_gemma":[0.9796662,0.008015109,0.003176515,0.006824189,0.001887755,0.0004303049],"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":[0.0007066587,0.0007489437,0.01774294,0.0004630851,0.0001425111,0.001903595,0.002147861,0.06403936,0.395499,0.05897787,0.006858384,0.4507698],"study_design_scores_gemma":[0.00009255147,0.0009159722,0.00539115,0.0001122666,0.0001559739,0.00232271,0.0004023804,0.5402369,0.4014018,0.03433847,0.01450866,0.0001211219],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2260901,0.0004931036,0.7508761,0.0006740351,0.00009470008,0.0004454588,0.00005780019,0.01688249,0.004386155],"genre_scores_gemma":[0.8841038,0.0002467198,0.1128137,0.0002312082,0.00005644283,0.0001307062,0.00009662682,0.0004742469,0.001846643],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002445135,"threshold_uncertainty_score":0.01293123,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009440329033088626,"score_gpt":0.2631610507730314,"score_spread":0.2537207217399428,"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."}}