{"id":"W2587084920","doi":"","title":"Classifying And Predicting Software Security Vulnerabilities based on Reproducibility","year":2017,"lang":"en","type":"dissertation","venue":"QSpace (Queen's University Library)","topic":"Software Reliability and Analysis Research","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canada Research Chairs","keywords":"Reproducibility; Computer science; Software; Software security assurance; Computer security; Data mining; Information security; Statistics; Mathematics; Operating system","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0008095604,0.0004858886,0.0006643477,0.0005980831,0.001383241,0.0008407197,0.002112079,0.0005301581,0.0001194722],"category_scores_gemma":[0.002588005,0.0005238194,0.0003381094,0.0005453259,0.0002670512,0.002723775,0.000552782,0.001310852,0.00001659877],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001997867,"about_ca_system_score_gemma":0.0009249078,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00416983,"about_ca_topic_score_gemma":0.0001660315,"domain_scores_codex":[0.9947988,0.0006853409,0.0002987011,0.002792381,0.0008479869,0.0005767363],"domain_scores_gemma":[0.9935568,0.001165072,0.0004066282,0.004320662,0.000212383,0.0003384522],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001379307,0.001630442,0.8067802,0.008065982,0.0007290318,0.0009219619,0.01304058,0.001667356,0.00001103494,0.009346394,0.09300946,0.06341822],"study_design_scores_gemma":[0.006367741,0.002568295,0.5342182,0.007875938,0.0009600691,0.000004175271,0.01656502,0.06185243,0.01678345,0.04918549,0.2937953,0.009823876],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7990282,0.0003958808,0.02662905,0.10463,0.002540131,0.003460701,0.0004577794,0.00678534,0.05607285],"genre_scores_gemma":[0.8456838,0.0003707312,0.01361808,0.0001607547,0.0002547198,0.000008571652,0.0005839457,0.00008504146,0.1392343],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2725621,"threshold_uncertainty_score":0.9999169,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01311275759682761,"score_gpt":0.2368062556348991,"score_spread":0.2236934980380715,"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."}}