{"id":"W4226205863","doi":"10.1109/qrs54544.2021.00076","title":"Vulnerability Analysis of Similar Code","year":2021,"lang":"en","type":"article","venue":"2021 IEEE 21st International Conference on Software Quality, Reliability and Security (QRS)","topic":"Software Engineering Research","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"New York Institute of Technology","funders":"","keywords":"Computer science; Secure coding; Vulnerability (computing); Software security assurance; Code (set theory); Computer security; Code review; Static program analysis; Domain (mathematical analysis); Software; Scripting language; Source code; Vulnerability assessment; Security bug; Application security; Software engineering; Information security; Programming language; Software development; Security service; Mathematics","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":[0.001756216,0.0005574684,0.0005310334,0.01084073,0.0007026822,0.0008326156,0.0005660453,0.0006371642,0.0007658803],"category_scores_gemma":[0.01577197,0.0002227973,0.0009279017,0.005112757,0.0007145038,0.001645745,0.001534647,0.0005501406,0.0003356017],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006273366,"about_ca_system_score_gemma":0.0007081648,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004464858,"about_ca_topic_score_gemma":0.004423911,"domain_scores_codex":[0.9961948,0.0004405602,0.000388012,0.001142975,0.001522304,0.0003113071],"domain_scores_gemma":[0.9836083,0.006496385,0.004401916,0.002323751,0.002629205,0.0005404951],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003982589,0.0002463947,0.8178826,0.0008764917,0.0006528745,0.001628037,0.002168477,0.009976147,0.01966852,0.003744955,0.005439931,0.1373172],"study_design_scores_gemma":[0.00003642501,0.0003821667,0.8486122,0.0002168104,0.0003556065,0.005219481,0.001940605,0.100134,0.01602642,0.009109963,0.01783914,0.0001272298],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9770074,0.0008988419,0.01456806,0.0001004876,0.00002080208,0.0001252497,0.004723755,0.0007402314,0.001815151],"genre_scores_gemma":[0.968457,0.0003120159,0.01855997,0.00005591794,0.00001692263,0.0001248902,0.01143469,0.0001639048,0.0008746613],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01084073,"threshold_uncertainty_score":0.009287894,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06034556526092438,"score_gpt":0.3613439035872422,"score_spread":0.3009983383263178,"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."}}