{"id":"W2133930400","doi":"10.1109/innovations.2011.5893859","title":"A view on latest audio steganography techniques","year":2011,"lang":"en","type":"article","venue":"","topic":"Advanced Steganography and Watermarking Techniques","field":"Computer Science","cited_by":90,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Moncton","funders":"","keywords":"Steganography; Computer science; Steganography tools; Robustness (evolution); Embedding; Digital audio; Information hiding; Cryptography; Computer security; Audio signal; Artificial intelligence; Telecommunications; Speech coding","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":[0.0002384586,0.0002079923,0.0001837461,0.000342456,0.0001308304,0.00006568015,0.001072857,0.0001334296,0.00002888549],"category_scores_gemma":[0.000006977352,0.0001596711,0.0001497857,0.0007003773,0.00007806681,0.0004223998,0.0001874907,0.0002550963,0.00003456134],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001133179,"about_ca_system_score_gemma":0.00001236709,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000172474,"about_ca_topic_score_gemma":0.000003317224,"domain_scores_codex":[0.9987816,0.00005768238,0.00022525,0.0004178467,0.0001912513,0.0003263261],"domain_scores_gemma":[0.9989004,0.00003532876,0.00007731091,0.0008365685,0.00005904635,0.00009137887],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001844743,0.000195062,0.001939035,0.00002144593,0.00002946701,0.00005068551,0.0006217624,1.308924e-7,0.0006959877,0.8172449,0.004277244,0.1749058],"study_design_scores_gemma":[0.0002043665,0.001235805,0.00375134,0.0002101736,0.00001112455,0.00004618362,0.00001450445,0.0001433472,0.5864933,0.2794426,0.1275801,0.0008670918],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001300883,0.00008069274,0.777043,0.0003701836,0.0001401752,0.0003180522,0.000001323219,0.004427767,0.216318],"genre_scores_gemma":[0.5522051,0.0001066147,0.4455082,0.001928666,0.00002270552,0.00006254428,8.339772e-7,0.00001271963,0.000152531],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5857973,"threshold_uncertainty_score":0.6511197,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02960339993112328,"score_gpt":0.2418881289451526,"score_spread":0.2122847290140293,"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."}}