{"id":"W2048899404","doi":"10.1145/2187671.2187673","title":"Mitigating program security vulnerabilities","year":2012,"lang":"en","type":"review","venue":"ACM Computing Surveys","topic":"Web Application Security Vulnerabilities","field":"Computer Science","cited_by":129,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Computer science; Secure coding; Vulnerability management; Vulnerability (computing); Computer security; Security bug; Software deployment; Vulnerability assessment; Security testing; Variety (cybernetics); Software security assurance; Risk analysis (engineering); Damages; Key (lock); Security information and event management; Security service; Information security; Cloud computing security; Software engineering; Business","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","open_science"],"consensus_categories":[],"category_scores_codex":[0.01129461,0.001054527,0.002483039,0.0003529682,0.0006250509,0.0009337268,0.006406118,0.0005965919,0.00003809063],"category_scores_gemma":[0.001672879,0.0009881698,0.0008244778,0.001508913,0.0003268419,0.0006813387,0.004122021,0.001626134,0.0004524954],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003283682,"about_ca_system_score_gemma":0.0005197378,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002291675,"about_ca_topic_score_gemma":0.00002172131,"domain_scores_codex":[0.9879385,0.006430189,0.001781982,0.001598549,0.000856962,0.001393858],"domain_scores_gemma":[0.9865147,0.006890288,0.001112576,0.004735566,0.0003661875,0.0003806068],"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":[1.068672e-7,0.0001612415,0.00004889548,0.007229134,0.00007709384,0.000002565266,0.001155238,0.000002811765,3.75161e-8,0.01090398,0.0003181374,0.9801008],"study_design_scores_gemma":[0.0001107177,0.00005479153,0.00004290882,0.002600536,0.0001222524,0.00008270339,0.00004907832,0.001426095,0.000002729421,0.006184819,0.9881454,0.001178005],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00005665957,0.9666951,0.0260384,0.00008435976,0.001199015,0.001992602,0.00003596663,0.002511828,0.001386007],"genre_scores_gemma":[0.002967689,0.8737938,0.1199975,0.00009236242,0.001784039,0.000683805,0.0002774588,0.0002074773,0.0001958501],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9878272,"threshold_uncertainty_score":0.9992568,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08518590885983726,"score_gpt":0.3652950161445279,"score_spread":0.2801091072846906,"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."}}