{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003323485,0.0007266853,0.0005749621,0.002543348,0.0004231161,0.001013658,0.0005376029,0.0006918806,0.01610831],"category_scores_gemma":[0.001374251,0.000244305,0.0005690237,0.001167907,0.0004059033,0.001076156,0.0005151547,0.0006093253,0.00725404],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003900879,"about_ca_system_score_gemma":0.0003982457,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009463631,"about_ca_topic_score_gemma":0.0009486069,"domain_scores_codex":[0.9995778,0.00003944343,0.00002006763,0.0000739264,0.0002357697,0.00005297217],"domain_scores_gemma":[0.9994316,0.0001507458,0.00005611683,0.0001066547,0.0002293567,0.00002557311],"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":[0.0003430915,0.000163016,0.002136036,0.0002329246,0.000045467,0.0003256119,0.00008914564,0.007206625,0.2744004,0.007533948,0.00449253,0.7030312],"study_design_scores_gemma":[0.00004225084,0.0005174245,0.02231812,0.0001444669,0.0001227152,0.003022568,0.0002914908,0.4158341,0.4739878,0.009757709,0.07386889,0.00009244004],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07464244,0.001385012,0.8916169,0.0004489776,0.000316768,0.0003182854,0.0008167143,0.006072127,0.0243828],"genre_scores_gemma":[0.444906,0.001607615,0.5242853,0.0001929649,0.0001605799,0.00026257,0.001469779,0.0005351402,0.02658005],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01610831,"threshold_uncertainty_score":0.05388767,"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."}}