{"id":"W4376958494","doi":"10.1038/s41598-023-35198-1","title":"A holistic and proactive approach to forecasting cyber threats","year":2023,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Information and Cyber Security","field":"Computer Science","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; Huawei Technologies (Canada)","funders":"Defence and Security Accelerator","keywords":"Computer science; Computer security; Cyber threats; Data science; Internet privacy","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":[0.001368322,0.001586217,0.001033491,0.003515991,0.0003346166,0.002485054,0.001624334,0.001304675,0.002218439],"category_scores_gemma":[0.003759298,0.0005650389,0.0007875376,0.002226213,0.000595836,0.00378864,0.001358215,0.001282806,0.0007218317],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000873614,"about_ca_system_score_gemma":0.0008679579,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005269069,"about_ca_topic_score_gemma":0.005910181,"domain_scores_codex":[0.9993234,0.0001443207,0.00005994884,0.0002732536,0.0001442807,0.00005490145],"domain_scores_gemma":[0.9987699,0.0005167877,0.0002830443,0.0001377231,0.000202486,0.0000899291],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001227466,0.0002917869,0.03099616,0.0002622608,0.0003559966,0.0001981654,0.0002869289,0.8045322,0.004913979,0.01512189,0.003936544,0.1389814],"study_design_scores_gemma":[0.000005541528,0.00007025873,0.004679351,0.00002248941,0.00003728002,0.00004417917,0.00009608478,0.9827188,0.0005647236,0.009921795,0.001813233,0.00002613902],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0831417,0.001484579,0.8996786,0.002145087,0.0002293316,0.0001825158,0.003774369,0.001987169,0.007376625],"genre_scores_gemma":[0.7548454,0.0007421753,0.2394414,0.0002716426,0.0003332713,0.0001593062,0.002012449,0.00009578617,0.002098633],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005269069,"threshold_uncertainty_score":0.01047683,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07191377940967161,"score_gpt":0.2798695337568833,"score_spread":0.2079557543472117,"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."}}