{"id":"W4248917891","doi":"10.1109/tifs.2014.2323186","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; University of Toronto","funders":"","keywords":"Computer science; Computer security; Information security; Computer forensics; Network forensics; Internet privacy; World Wide Web; 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":["metaepi_narrow","scholarly_communication"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.0005616592,0.000449739,0.0003548168,0.000636726,0.0007787836,0.001598564,0.0003640031,0.0003225006,0.00001670322],"category_scores_gemma":[0.00002950707,0.000436283,0.0001642216,0.0007496106,0.000235014,0.02106466,0.000006783355,0.0006049196,0.0002063755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001211844,"about_ca_system_score_gemma":0.00009868461,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008727339,"about_ca_topic_score_gemma":0.00006848121,"domain_scores_codex":[0.9973557,0.00006790876,0.001044268,0.0002762886,0.0007780219,0.0004778244],"domain_scores_gemma":[0.9976429,0.0001443404,0.0004674037,0.000644031,0.0007520548,0.0003493091],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007900484,0.0000884449,0.000009956589,0.0001486127,0.00006504248,2.038802e-7,0.009584702,0.002573779,0.000003114608,0.126563,0.002118305,0.8587658],"study_design_scores_gemma":[0.003619095,0.00126652,0.00056214,0.000140628,0.0001229963,0.0001292308,0.001045888,0.7443719,0.008035261,0.1103043,0.1288037,0.001598341],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01544084,0.00000579982,0.973578,0.001191545,0.001226443,0.0006016483,0.0002898249,0.0003950564,0.007270893],"genre_scores_gemma":[0.9936785,0.0001140722,0.0026876,0.003187266,0.00003802905,0.00008251274,0.0001695731,0.00001188467,0.0000305619],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9782377,"threshold_uncertainty_score":0.9998089,"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."}}