{"id":"W3167859871","doi":"10.1109/tsusc.2021.3077175","title":"Editorial for the Special Issue on Sustainable Cyber Forensics and Threat Intelligence","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Sustainable Computing","topic":"Digital and Cyber Forensics","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Software deployment; Computer security; Computer science; Big data; Digital forensics; Mandate; Cyber-attack; Field (mathematics); Data science","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.0004711849,0.0002913529,0.000265158,0.0001122051,0.001448023,0.0009231073,0.0005447694,0.0001279781,0.0000192977],"category_scores_gemma":[0.00007163815,0.0002381539,0.0001702592,0.0007610735,0.0001603506,0.0006086806,0.00004414239,0.0003859508,0.0000179586],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001967264,"about_ca_system_score_gemma":0.000303331,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007853755,"about_ca_topic_score_gemma":0.00001685397,"domain_scores_codex":[0.9976377,0.00005258566,0.0003265261,0.0006390024,0.0004374598,0.0009066483],"domain_scores_gemma":[0.9972912,0.0009786318,0.00008912799,0.0006132955,0.000891594,0.0001361449],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000100613,0.0002059804,0.000002887368,0.0001407092,0.00008807772,0.0001312693,0.001908118,0.04086807,0.000006667661,0.2901576,0.05212622,0.6142638],"study_design_scores_gemma":[0.001024011,0.000740528,0.00001948193,0.00009162231,0.00008473923,0.00008129518,0.01479603,0.07493771,0.0182527,0.1039201,0.7852246,0.0008271714],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0006333158,0.00007653729,0.966338,0.001461314,0.02448667,0.000535466,0.000005898921,0.00014992,0.006312905],"genre_scores_gemma":[0.7764195,0.0001421791,0.02081217,0.002038211,0.1392,0.0001416382,0.00001012147,0.0001300398,0.06110616],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9455258,"threshold_uncertainty_score":0.9998519,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01119929501379091,"score_gpt":0.2427137401663768,"score_spread":0.2315144451525859,"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."}}