{"id":"W2982858820","doi":"10.3390/computers8040080","title":"Design and Implementation of SFCI: A Tool for Security Focused Continuous Integration","year":2019,"lang":"en","type":"article","venue":"Computers","topic":"Web Application Security Vulnerabilities","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Security bug; Computer science; Software security assurance; Software engineering; Software development; Software deployment; Secure coding; Vulnerability management; Security testing; Application security; Integration testing; Computer security; Programmer; Software construction; Software; Security service; Security information and event management; Cloud computing security; Operating system; Information security; Vulnerability assessment","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004056714,0.00009152395,0.0001635642,0.00007289014,0.00003893753,0.00008748064,0.0002896441,0.00003488912,0.000005876021],"category_scores_gemma":[0.00001194685,0.0000911415,0.00003733497,0.0001208523,0.00003083454,0.0003414059,0.00009190449,0.00004421422,0.000004731064],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000281599,"about_ca_system_score_gemma":0.00004579307,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002263425,"about_ca_topic_score_gemma":0.000003574023,"domain_scores_codex":[0.9991533,0.00007096194,0.0002477663,0.0002748528,0.0001251184,0.0001280724],"domain_scores_gemma":[0.9990057,0.0003833934,0.0001332513,0.0003119191,0.000136605,0.00002915712],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005770298,0.0001124428,0.002834155,0.0002371251,0.00006154325,4.461679e-7,0.02582049,0.0004892924,0.0144585,0.5746751,0.004340814,0.3769124],"study_design_scores_gemma":[0.003588537,0.0009004898,0.007408887,0.00005571128,0.00001844701,0.000008629487,0.0007242066,0.8312091,0.08836178,0.06350182,0.003733507,0.0004889079],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2625113,0.00001937552,0.7360473,0.0003178515,0.0001299382,0.0008998832,0.000003138629,0.00005485501,0.00001641688],"genre_scores_gemma":[0.7922608,0.000002073359,0.2075112,0.0001225609,0.00001627339,0.00006858978,0.000005614851,0.000004676142,0.00000819882],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8307198,"threshold_uncertainty_score":0.3716643,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01535617267742973,"score_gpt":0.2719702586410608,"score_spread":0.2566140859636311,"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."}}