{"id":"W2383492112","doi":"","title":"The Study of Computer Forensics System for Real Time Communication Soft","year":2005,"lang":"en","type":"article","venue":"Journal of Zhengzhou Institute of Technology","topic":"Digital and Cyber Forensics","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"CAE (Canada)","funders":"","keywords":"Key (lock); Computer science; Computer forensics; Network forensics; Computer security; Digital forensics","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":[0.001204308,0.0002978352,0.0004676027,0.0009288791,0.0008594369,0.002021795,0.000841341,0.001282514,0.001437935],"category_scores_gemma":[0.003285352,0.0002423581,0.0004427306,0.0005230667,0.001392745,0.004210935,0.000791596,0.001019997,0.0003515019],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001203288,"about_ca_system_score_gemma":0.0008636461,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001395167,"about_ca_topic_score_gemma":0.0005159476,"domain_scores_codex":[0.9986738,0.0005469543,0.00004260251,0.0001933125,0.0004488675,0.00009454738],"domain_scores_gemma":[0.9985323,0.0005711503,0.0002256973,0.0002368436,0.0003512546,0.00008274065],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001585324,0.0001065497,0.005634379,0.0004506074,0.00008569839,0.0008736652,0.001469141,0.09156793,0.01405877,0.7660374,0.004919002,0.1146383],"study_design_scores_gemma":[0.00003322612,0.0002383848,0.003374354,0.0001559415,0.00005291272,0.001565076,0.0009995606,0.7427917,0.01367462,0.1929957,0.04402637,0.00009228572],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1040508,0.003862853,0.8637778,0.003107634,0.000324083,0.0001314179,0.00006589309,0.0003585976,0.02432099],"genre_scores_gemma":[0.9155679,0.002516141,0.07355112,0.0001892361,0.000194346,0.00008548006,0.0000687974,0.00003746297,0.007789431],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002021795,"threshold_uncertainty_score":0.008730471,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01093103765139662,"score_gpt":0.2345094006234562,"score_spread":0.2235783629720596,"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."}}