{"id":"W4402956449","doi":"10.18280/mmep.110930","title":"Secure Data Hiding Technique for Video Steganography","year":2024,"lang":"en","type":"article","venue":"Mathematical Modelling and Engineering Problems","topic":"Advanced Steganography and Watermarking Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Steganography; Information hiding; Computer science; Steganography tools; Computer security; Artificial intelligence; Embedding","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001577907,0.0003858939,0.0003137175,0.000557202,0.000307397,0.0002759781,0.0003045526,0.0005590711,0.001469727],"category_scores_gemma":[0.0003254405,0.0001586601,0.0004961681,0.0005062618,0.0004225311,0.0006749044,0.0004516392,0.0007889147,0.0009631595],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003012852,"about_ca_system_score_gemma":0.000350538,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003928484,"about_ca_topic_score_gemma":0.0004300333,"domain_scores_codex":[0.9997439,0.00003258054,0.0000122277,0.00003011449,0.0001625644,0.00001863919],"domain_scores_gemma":[0.9998904,0.00002922261,0.00001733388,0.00002060669,0.00003757148,0.000004898486],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001548911,0.00008169168,0.000867574,0.0008165963,0.00008315883,0.0007587937,0.0003235341,0.01776578,0.5275197,0.07208533,0.004383024,0.3751599],"study_design_scores_gemma":[0.0001054467,0.0006749899,0.002187403,0.0002725193,0.0001250987,0.006909676,0.0001673385,0.2946301,0.5127236,0.03589265,0.1461951,0.0001159788],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03546647,0.00635755,0.942526,0.0009701722,0.0003202816,0.0001064345,0.00008961726,0.000592892,0.01357051],"genre_scores_gemma":[0.60157,0.01182092,0.3638126,0.0003543246,0.0002597234,0.0001987525,0.000301623,0.00008944151,0.02159266],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001469727,"threshold_uncertainty_score":0.004916728,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03961422698844728,"score_gpt":0.2545791035450232,"score_spread":0.2149648765565759,"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."}}