{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002010875,0.001147364,0.0007231413,0.005328833,0.0007241878,0.001691514,0.001543255,0.00140088,0.003139651],"category_scores_gemma":[0.00672873,0.0004356725,0.0007278315,0.002565576,0.001008453,0.003479311,0.001727456,0.00165291,0.00186928],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00102001,"about_ca_system_score_gemma":0.003116626,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001978804,"about_ca_topic_score_gemma":0.002196784,"domain_scores_codex":[0.997515,0.0004024319,0.0001104959,0.0002487577,0.001466813,0.0002565586],"domain_scores_gemma":[0.9946706,0.002822647,0.0006152299,0.0004128499,0.001351192,0.0001274856],"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":[0.00001735084,0.0001156468,0.002151948,0.003022446,0.00006340259,0.0001606271,0.0004016691,0.001416457,0.004614668,0.01786154,0.01413084,0.9560434],"study_design_scores_gemma":[0.00002763534,0.0003659572,0.01009119,0.009007894,0.0003813984,0.005457466,0.001728924,0.008073434,0.02856799,0.0416948,0.8945146,0.00008863192],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0354383,0.7606065,0.105436,0.01031792,0.0009946461,0.0003796898,0.0002217113,0.002208047,0.084397],"genre_scores_gemma":[0.1995591,0.7097427,0.0673929,0.002288083,0.0006806835,0.0003273982,0.0006174706,0.0003416605,0.01904994],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.005328833,"threshold_uncertainty_score":0.01063466,"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."}}