{"id":"W4385386732","doi":"10.18280/ijsse.130320","title":"Live Forensic Environment with Parallel Data Acquisition for Investigating Private Mode Browsing","year":2023,"lang":"en","type":"article","venue":"International Journal of Safety and Security Engineering","topic":"Digital and Cyber Forensics","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mode (computer interface); Computer science; Computer security; Human–computer interaction","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":[0.00107386,0.0005147741,0.0003917905,0.002525654,0.0006686616,0.0009705483,0.0007441211,0.0009076958,0.004001339],"category_scores_gemma":[0.002199889,0.0003406811,0.0003111841,0.001016324,0.0004895229,0.001912309,0.001523593,0.0005669614,0.00118851],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002499667,"about_ca_system_score_gemma":0.0005421356,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004065291,"about_ca_topic_score_gemma":0.0006734834,"domain_scores_codex":[0.9990066,0.0002432296,0.00005854279,0.0002215892,0.0003582882,0.0001116639],"domain_scores_gemma":[0.9984207,0.0004118451,0.0001607808,0.0004198671,0.0004791897,0.000107632],"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":[0.001864274,0.001072954,0.05009336,0.0007336371,0.0002019175,0.005375013,0.003653218,0.01146053,0.3344619,0.01293826,0.01027064,0.5678744],"study_design_scores_gemma":[0.0002503354,0.002057115,0.07242748,0.0003676494,0.0003458044,0.01715527,0.003715564,0.2963442,0.5131348,0.02250545,0.07131957,0.0003767514],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4332746,0.0006241417,0.538341,0.0005438524,0.000185637,0.0007170867,0.001471027,0.00994643,0.01489615],"genre_scores_gemma":[0.8340406,0.0002906729,0.1605825,0.0001243748,0.00008935242,0.0004033573,0.0007186256,0.0002139063,0.003536523],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004001339,"threshold_uncertainty_score":0.01338583,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01632593152369594,"score_gpt":0.2292386145176633,"score_spread":0.2129126829939674,"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."}}