{"id":"W4401109317","doi":"10.1007/s10664-024-10523-y","title":"Dependabot and security pull requests: large empirical study","year":2024,"lang":"en","type":"article","venue":"Empirical Software Engineering","topic":"Advanced Malware Detection Techniques","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"Natural Sciences and Engineering Research Council of Canada; European Commission","keywords":"Computer science; Empirical research; Computer security; Statistics; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01682865,0.0007262324,0.0007438652,0.002990889,0.001675215,0.001966359,0.002022763,0.001822547,0.005276366],"category_scores_gemma":[0.09258271,0.0008063728,0.001399109,0.004500958,0.002304591,0.005341642,0.002687755,0.006236482,0.001748606],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009951887,"about_ca_system_score_gemma":0.001444003,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009681081,"about_ca_topic_score_gemma":0.0104226,"domain_scores_codex":[0.9860747,0.007198538,0.0009488908,0.001929483,0.002980316,0.0008680531],"domain_scores_gemma":[0.6986758,0.2408425,0.03522725,0.01109658,0.009669435,0.004488451],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001922734,0.0009274033,0.9813824,0.0002695883,0.0003831949,0.0002865956,0.002495493,0.0003328615,0.00009475973,0.0005266117,0.003529542,0.009579234],"study_design_scores_gemma":[0.00005902714,0.0003078206,0.9807194,0.0003261488,0.0002979712,0.0005055164,0.007207339,0.003939812,0.0002058757,0.0006829383,0.005695987,0.00005208133],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9935212,0.001403971,0.001183514,0.0006119989,0.00002537745,0.0001159558,0.001535086,0.00003607066,0.001566907],"genre_scores_gemma":[0.9948912,0.0006446386,0.001215152,0.0003957371,0.00004157075,0.0002264624,0.001957171,0.00005608213,0.0005719676],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01682865,"threshold_uncertainty_score":0.08899945,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01438635956561701,"score_gpt":0.3083094525259736,"score_spread":0.2939230929603566,"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."}}