{"id":"W4323654863","doi":"10.18280/isi.280108","title":"Ranking Threats to Determine the Cost of Protecting Information in a Cybersecurity Environment","year":2023,"lang":"en","type":"article","venue":"Ingénierie des systèmes d information","topic":"Information and Cyber Security","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer security; Ranking (information retrieval); Computer science; Cyber threats; Information security; Internet privacy; Information retrieval","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006942697,0.00097518,0.0007333943,0.006778372,0.0007232175,0.003000146,0.0008822713,0.0009791888,0.004611533],"category_scores_gemma":[0.02135814,0.0002666565,0.001016408,0.003682175,0.001355379,0.002604396,0.001089639,0.0008950582,0.0003181033],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002822734,"about_ca_system_score_gemma":0.002642194,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001756292,"about_ca_topic_score_gemma":0.00252492,"domain_scores_codex":[0.9907063,0.004613267,0.0004777579,0.0003918658,0.003312496,0.0004984213],"domain_scores_gemma":[0.9733145,0.0204841,0.002231923,0.001001909,0.002575197,0.0003923585],"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":[0.0009645052,0.001047599,0.1141768,0.002288963,0.0007533416,0.0006748735,0.001430731,0.2792104,0.01084749,0.2552793,0.00258149,0.3307446],"study_design_scores_gemma":[0.00008896417,0.003162174,0.1388268,0.00060039,0.0005108995,0.001294789,0.006900088,0.6909996,0.01866483,0.1282969,0.01033871,0.0003157816],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6715775,0.00133073,0.2871753,0.0007067211,0.000142521,0.0009418523,0.000591332,0.0001147156,0.03741936],"genre_scores_gemma":[0.9282802,0.0003930647,0.06917966,0.00002931958,0.00001949018,0.000259182,0.0001587755,0.00001395784,0.001666387],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006942697,"threshold_uncertainty_score":0.036717,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02112680636379041,"score_gpt":0.2376646779942289,"score_spread":0.2165378716304384,"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."}}