{"id":"W4251493287","doi":"10.1109/tifs.2014.2311199","title":"IEEE Transactions on Information Forensics and Security publication information","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Information Forensics and Security","topic":"Digital and Cyber Forensics","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Standards Association","funders":"","keywords":"Computer science; Information security; Computer security; Information security management; Computer forensics; Internet privacy; Information retrieval; Digital forensics; Security information and event management; Cloud computing security; Cloud computing","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003480719,0.0009672444,0.0009946352,0.004491921,0.001579929,0.005486016,0.001164224,0.002622108,0.07962175],"category_scores_gemma":[0.01016022,0.0003783534,0.0008002556,0.002608177,0.001339913,0.004361195,0.002647677,0.001782433,0.03011599],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00095748,"about_ca_system_score_gemma":0.002576452,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001000262,"about_ca_topic_score_gemma":0.001161016,"domain_scores_codex":[0.9970782,0.0006359807,0.0002121996,0.0002324401,0.001640625,0.0002006515],"domain_scores_gemma":[0.9938701,0.001284839,0.0002494361,0.001894778,0.002371401,0.0003294519],"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":[0.0003568011,0.0001738752,0.002294485,0.000412766,0.0001129834,0.0005760815,0.0001934586,0.002433348,0.003628372,0.05805689,0.3007641,0.6309969],"study_design_scores_gemma":[0.00005449354,0.0001622476,0.002481163,0.0006322384,0.0001198083,0.002461467,0.0004100601,0.02744267,0.006615191,0.0690529,0.890506,0.00006177502],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02353404,0.06025781,0.3397112,0.03035817,0.02998548,0.001104649,0.005299531,0.004471156,0.5052781],"genre_scores_gemma":[0.3065787,0.06232301,0.1745698,0.004646596,0.01095553,0.0006343364,0.01633189,0.0008616557,0.4230986],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9203783,"threshold_uncertainty_score":0.2663614,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006970783366807788,"score_gpt":0.1965627749115512,"score_spread":0.1895919915447434,"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."}}