{"id":"W4393615807","doi":"10.5281/zenodo.8432715","title":"Dependency Practices for Vulnerability Mitigation","year":2023,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Software System Performance and Reliability","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Dependency (UML); Vulnerability (computing); Vulnerability assessment; Computer science; Geography; Computer security; Psychology; Artificial intelligence; Social psychology","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":[0.003297559,0.001159188,0.0005041834,0.004763466,0.001070932,0.002400082,0.001531513,0.0008196133,0.04916192],"category_scores_gemma":[0.02556596,0.0006145727,0.001507845,0.005846288,0.0005388534,0.004137898,0.003280888,0.002169808,0.02496393],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001295545,"about_ca_system_score_gemma":0.001773808,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009432105,"about_ca_topic_score_gemma":0.0135542,"domain_scores_codex":[0.9973016,0.0007267353,0.0002692583,0.0007453514,0.0007485398,0.0002084997],"domain_scores_gemma":[0.9881391,0.005083686,0.000823768,0.004434974,0.001264339,0.000254176],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006883563,0.00005989505,0.01424824,0.0009143243,0.00008565139,0.00004968382,0.0004648451,0.001621778,0.0003560469,0.01130223,0.9081506,0.06267787],"study_design_scores_gemma":[0.00004684406,0.00003976866,0.02245555,0.0006671672,0.00004907497,0.0002018882,0.0006465975,0.005181181,0.001158945,0.03041895,0.9390725,0.00006150463],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.005985975,0.0009424353,0.04249986,0.001960011,0.0002724554,0.0003709402,0.9065323,0.01650701,0.024929],"genre_scores_gemma":[0.02734691,0.0009049216,0.04983763,0.000585947,0.0001086362,0.001285464,0.9106307,0.003182265,0.006117405],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04916192,"threshold_uncertainty_score":0.164463,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05373557376373998,"score_gpt":0.3077695142951715,"score_spread":0.2540339405314315,"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."}}