{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005336981,0.0001155667,0.0003745024,0.0002147079,0.0001326632,0.00004087654,0.001847224,0.000104293,1.811176e-7],"category_scores_gemma":[0.00004786403,0.00007805308,0.0001243151,0.0003531009,0.0003148196,0.000553022,0.0003798763,0.0001855466,0.000002483528],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006103653,"about_ca_system_score_gemma":0.0001025785,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008368362,"about_ca_topic_score_gemma":0.00003873924,"domain_scores_codex":[0.9985951,0.00002562668,0.0008220293,0.000115799,0.0002684944,0.0001729204],"domain_scores_gemma":[0.9975078,0.000114057,0.0009644227,0.0007114081,0.0006663879,0.00003595258],"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":[0.00005665291,0.0003869406,0.0002539962,0.00003680257,0.0002304987,0.000006323643,0.0005040456,0.001263637,0.0003215539,0.3438415,0.001658241,0.6514398],"study_design_scores_gemma":[0.02274755,0.02813866,0.00367159,0.002224966,0.0009970625,0.003339249,0.00625852,0.2085638,0.06205712,0.1555892,0.5044308,0.001981496],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.779153,0.0005759486,0.2123332,0.00417591,0.001228023,0.0006757997,0.000007523767,0.0001554302,0.001695092],"genre_scores_gemma":[0.9003376,0.00003634408,0.09948965,0.00001402898,0.00007719766,0.000004586178,6.334554e-7,0.000006925975,0.00003306726],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6494583,"threshold_uncertainty_score":0.3432633,"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."}}