{"id":"W1974279004","doi":"10.5539/cis.v1n3p32","title":"Image Analysis for Online Dynamic Steganography Detection","year":2008,"lang":"en","type":"article","venue":"Computer and Information Science","topic":"Advanced Steganography and Watermarking Techniques","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Steganalysis; Steganography; Computer science; Steganography tools; Computer security; Artificial intelligence; Image (mathematics); Pattern recognition (psychology)","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003228922,0.0001099889,0.0001373441,0.001291288,0.0006442264,0.0002709254,0.0006050342,0.00003250361,4.277597e-7],"category_scores_gemma":[0.00001312544,0.0000955994,0.000103319,0.003105227,0.0003298461,0.0111661,0.0001873952,0.00006657746,0.000001440439],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001985785,"about_ca_system_score_gemma":0.00003391167,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002842224,"about_ca_topic_score_gemma":0.000001634784,"domain_scores_codex":[0.9989991,0.00001242016,0.0002673948,0.0002290828,0.0002589482,0.0002330865],"domain_scores_gemma":[0.9991209,0.00003946687,0.000124495,0.0003298059,0.0002973309,0.00008798805],"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":[0.00003374488,0.0001106758,0.004272175,0.00007982526,0.0001177831,0.000003029522,0.005224263,0.001080986,0.003706276,0.01746136,0.0001475076,0.9677624],"study_design_scores_gemma":[0.0002025907,0.0001296759,0.06712907,0.000005538704,0.00001206714,0.00003059926,0.00001068047,0.9251707,0.002256793,0.001240317,0.003633938,0.000178021],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06033626,0.00001586299,0.9388434,0.00007641938,0.0001566098,0.0001676492,0.000007711236,0.0002678924,0.000128185],"genre_scores_gemma":[0.5753528,0.00005629511,0.4243,0.000258892,0.00001096938,0.000010473,0.000007676122,0.000001196052,0.000001743022],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9675844,"threshold_uncertainty_score":0.8095151,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01141474037604579,"score_gpt":0.2553882852091008,"score_spread":0.243973544833055,"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."}}