{"id":"W2085112520","doi":"10.1088/1742-6596/385/1/012003","title":"High Performance Proactive Digital Forensics","year":2012,"lang":"en","type":"article","venue":"Journal of Physics Conference Series","topic":"Digital and Cyber Forensics","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Sophistication; Digital forensics; Computer science; Supercomputer; Cloud computing; Computer security; Operating system","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":[],"consensus_categories":[],"category_scores_codex":[0.0001179634,0.0001686112,0.0002579377,0.00003964973,0.00007721275,0.0004316753,0.0005710549,0.00003926826,0.000003313705],"category_scores_gemma":[0.00002377573,0.000129081,0.00009984573,0.0002308797,0.0001575645,0.01168658,0.0001840557,0.0002140711,0.00002980634],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003366717,"about_ca_system_score_gemma":0.0001671826,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001060818,"about_ca_topic_score_gemma":2.562793e-7,"domain_scores_codex":[0.9988338,0.00001306004,0.000304222,0.0001067568,0.0004116953,0.0003304677],"domain_scores_gemma":[0.9987136,0.00003096558,0.0003464844,0.0002332293,0.0005164612,0.0001592857],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002015367,0.00008387643,0.001064235,0.00001032793,0.00004708297,0.000003422461,0.001115382,0.00002302951,0.0001058099,0.4833242,0.0002202816,0.5139822],"study_design_scores_gemma":[0.0008254047,0.001522178,0.01840224,0.0001671867,0.00005409182,0.0005715579,0.0008045303,0.000436518,0.5857156,0.3831635,0.00748692,0.0008502515],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6392747,0.00006557219,0.3473981,0.0004545343,0.001573986,0.00009324228,0.0000122761,0.00005455846,0.011073],"genre_scores_gemma":[0.9909643,0.00002436428,0.008143917,0.00006156377,0.0004848551,0.000001473995,0.00000216359,0.000008966094,0.0003083939],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5856098,"threshold_uncertainty_score":0.8472486,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01736891725339849,"score_gpt":0.2046938858874723,"score_spread":0.1873249686340738,"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."}}