{"id":"W4409391137","doi":"10.22214/ijraset.2025.68420","title":"CyberSleuth AI: Intelligent Network Forensics Analyzer","year":2025,"lang":"en","type":"article","venue":"International Journal for Research in Applied Science and Engineering Technology","topic":"Digital and Cyber Forensics","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Network forensics; Spectrum analyzer; Computer security; Digital forensics; Telecommunications","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002181938,0.0000945598,0.0001225927,0.001833243,0.0002041657,0.0005699447,0.001983716,0.00007573349,7.135791e-7],"category_scores_gemma":[0.0002614328,0.0000843681,0.0000286978,0.002708665,0.0004448041,0.0003342443,0.0008430693,0.0005504774,0.000003284875],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002762282,"about_ca_system_score_gemma":0.0003007133,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003962376,"about_ca_topic_score_gemma":0.000005663952,"domain_scores_codex":[0.9981838,0.000005102233,0.0002442507,0.0003138318,0.0006667277,0.0005862205],"domain_scores_gemma":[0.998911,0.0001164976,0.00003083723,0.0002108202,0.0006400403,0.00009075611],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000007605301,0.0000122946,0.0001272767,0.00000357874,0.00001384194,0.00001303593,0.00003460504,0.002358675,0.0005628153,0.798883,0.001106592,0.1968767],"study_design_scores_gemma":[0.0003211725,0.000060365,0.0002064706,0.00009742569,0.000001551831,0.00007764177,0.00009923166,0.1317746,0.003587509,0.7979593,0.06567892,0.000135826],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01650279,0.0002687155,0.9538528,0.02038979,0.00239517,0.0003071443,0.000002145361,0.0001514844,0.006129905],"genre_scores_gemma":[0.967625,0.00008807112,0.0318061,0.0002496031,0.00009165509,0.00003937643,6.32439e-7,0.000005253281,0.00009436932],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9511222,"threshold_uncertainty_score":0.5495989,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03286767714990576,"score_gpt":0.3619171572369957,"score_spread":0.32904948008709,"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."}}