{"id":"W2786656115","doi":"10.22215/etd/2017-11954","title":"An investigation of software vulnerabilities in open source software projects using data from publicly-available online sources.","year":2017,"lang":"en","type":"dissertation","venue":"","topic":"Software Engineering Research","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Workflow; Software project management; Commit; Software peer review; Software; Software engineering; Data science; Scripting language; World Wide Web; Software quality; Secure coding; Database; Software development; Computer security; Software construction; Software security assurance; Information security; Operating system","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":[0.009992364,0.0003264728,0.0003084863,0.01509784,0.0008813689,0.002139725,0.0005608067,0.0006938103,0.001121065],"category_scores_gemma":[0.05981347,0.0003548794,0.0005019588,0.02094992,0.0008598607,0.003438089,0.003422504,0.001110691,0.000698435],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001123468,"about_ca_system_score_gemma":0.003224772,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008848547,"about_ca_topic_score_gemma":0.01355374,"domain_scores_codex":[0.9914969,0.001875421,0.001005025,0.0009859339,0.004129572,0.0005071945],"domain_scores_gemma":[0.9099541,0.03973424,0.02799935,0.006635675,0.01389299,0.001783571],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006242363,0.0002106044,0.9369165,0.0004595017,0.0001098033,0.000207753,0.01022768,0.0002881591,0.0008334708,0.0022479,0.00340157,0.04503462],"study_design_scores_gemma":[0.000009682046,0.00009837823,0.9705665,0.0004761512,0.00009294849,0.0003433921,0.01073671,0.001398551,0.001489177,0.001147607,0.01360289,0.00003806066],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9745848,0.0007899388,0.004299251,0.0006847205,0.00001910029,0.0003729187,0.01559435,0.00004912596,0.003605869],"genre_scores_gemma":[0.954822,0.001188744,0.01519839,0.0001558091,0.00003910275,0.001126628,0.02576734,0.00006324465,0.001638736],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01509784,"threshold_uncertainty_score":0.0528453,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1338210903758155,"score_gpt":0.3585225245455685,"score_spread":0.224701434169753,"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."}}