{"id":"W3106346735","doi":"10.1109/dasc-picom-cbdcom-cyberscitech49142.2020.00022","title":"Demystifying the Cyber Attribution: An Exploratory Study","year":2020,"lang":"en","type":"article","venue":"","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Computer Research Institute of Montréal","funders":"","keywords":"Attribution; Computer science; Data science; Variety (cybernetics); Identification (biology); Exploratory research; Face (sociological concept); Computer security; Artificial intelligence; 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":[0.007253048,0.0004655708,0.0003305237,0.003837014,0.001385582,0.002441334,0.001082278,0.0008318147,0.001117212],"category_scores_gemma":[0.02858484,0.0002505171,0.0003728171,0.003423974,0.002317668,0.003661363,0.00254095,0.001309558,0.0002701305],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008809281,"about_ca_system_score_gemma":0.001047385,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001570106,"about_ca_topic_score_gemma":0.002892817,"domain_scores_codex":[0.9947291,0.003280604,0.0002995997,0.0005135072,0.0008942542,0.0002829841],"domain_scores_gemma":[0.9679033,0.02156372,0.003543069,0.003506663,0.002862218,0.0006210601],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0006843873,0.002739542,0.4483447,0.001641357,0.0002249744,0.00556718,0.3056295,0.005668551,0.02288049,0.02741466,0.007593658,0.171611],"study_design_scores_gemma":[0.00007468158,0.001858608,0.4244448,0.001152848,0.0001269625,0.004669836,0.4120272,0.03308105,0.0202367,0.02878077,0.07328379,0.0002627839],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9762325,0.0002270386,0.01843544,0.0005885026,0.00001626182,0.0005463989,0.001085293,0.00009474212,0.00277378],"genre_scores_gemma":[0.978023,0.0002751086,0.01936237,0.0001258938,0.00002316766,0.0003477333,0.0009646371,0.00005177217,0.0008262482],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007253048,"threshold_uncertainty_score":0.03835827,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0680185878736144,"score_gpt":0.2701101603845509,"score_spread":0.2020915725109365,"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."}}