{"id":"W4393642854","doi":"10.5281/zenodo.8432714","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; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002854038,0.0002620454,0.0002968511,0.0003105175,0.002659577,0.001629989,0.003432542,0.0002688289,0.0006300135],"category_scores_gemma":[0.00548918,0.0002542769,0.0001342296,0.0008446051,0.0001270491,0.0008914355,0.002024082,0.0005284023,0.01953527],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002525856,"about_ca_system_score_gemma":0.00002499537,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001630779,"about_ca_topic_score_gemma":0.000004692596,"domain_scores_codex":[0.9967291,0.0005881297,0.0005160749,0.0009962611,0.0006801642,0.0004903048],"domain_scores_gemma":[0.9960824,0.0002476044,0.0006825952,0.001667129,0.00113875,0.0001814791],"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":[0.00001969624,0.0001020503,0.000001008321,0.0005825576,0.0000378452,0.000006315215,0.0001252498,0.0000202549,0.00002284833,0.0002136421,0.9729605,0.02590806],"study_design_scores_gemma":[0.0003130916,0.0002477923,0.0001151037,0.00006957792,0.00002407429,0.00006100556,0.00004623376,0.000781007,0.00004183608,0.000693785,0.9973223,0.0002842558],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001961342,0.00008871719,0.03023647,0.00132276,0.001405063,0.00197211,0.9609365,0.002460683,0.001381523],"genre_scores_gemma":[0.0004911398,0.0001795352,0.001066646,0.0001040573,0.000444074,8.074746e-7,0.9966345,0.0006647395,0.0004144317],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03569803,"threshold_uncertainty_score":0.9999909,"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."}}