{"id":"W2554289166","doi":"","title":"Methods and risks of textual steganography","year":2016,"lang":"en","type":"article","venue":"Strathprints: The University of Strathclyde institutional repository (University of Strathclyde)","topic":"Advanced Steganography and Watermarking Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"British Columbia Institute of Technology","funders":"","keywords":"Steganography; Computer science; Steganography tools; Information hiding; Computer security; Multimedia; Artificial intelligence; Embedding","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":[0.006495696,0.0009934703,0.0005013002,0.00360821,0.00136325,0.005338502,0.001900332,0.003588731,0.007923731],"category_scores_gemma":[0.02076823,0.0006361045,0.0009688105,0.001497283,0.006803893,0.007426211,0.00439711,0.00301312,0.003580624],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001885501,"about_ca_system_score_gemma":0.001148833,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007422394,"about_ca_topic_score_gemma":0.0004594092,"domain_scores_codex":[0.9892525,0.003704658,0.0005341295,0.0008392829,0.005319163,0.000350351],"domain_scores_gemma":[0.9784997,0.01254197,0.002167705,0.004085707,0.002420658,0.0002843131],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001753786,0.00009597716,0.002891445,0.001180607,0.00004228776,0.0007704583,0.002613336,0.003389496,0.009570247,0.7672238,0.006413333,0.2056336],"study_design_scores_gemma":[0.00007893616,0.0004578414,0.00308226,0.003302571,0.00009225878,0.00703999,0.002144206,0.01969559,0.04252756,0.5304499,0.3909091,0.0002198511],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03446197,0.04533245,0.5688974,0.02810669,0.001591416,0.0007123655,0.0004102366,0.001229785,0.3192576],"genre_scores_gemma":[0.509659,0.04040729,0.3191387,0.005857953,0.002352736,0.001501123,0.0004161716,0.000663501,0.1200034],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007923731,"threshold_uncertainty_score":0.03435296,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0292992526158441,"score_gpt":0.2652680462200205,"score_spread":0.2359687936041764,"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."}}