{"id":"W2375822619","doi":"","title":"Study on dependencies between wavelet coefficients for image steganalysis and its application","year":2010,"lang":"en","type":"article","venue":"Jisuanji yingyong yanjiu","topic":"Advanced Steganography and Watermarking Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"The Alberta Paraplegic Foundation","funders":"","keywords":"Steganalysis; Computer science; Steganography; Wavelet; Artificial intelligence; Embedding; Pattern recognition (psychology); Image (mathematics); Uncompressed video; Computer vision","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":[0.0007226907,0.0004363128,0.0003410415,0.0007740968,0.0001725257,0.000266757,0.0003333846,0.00039507,0.0007789733],"category_scores_gemma":[0.004129899,0.0002792213,0.0004281838,0.0007328951,0.0003970679,0.0007295054,0.0002235768,0.0007941531,0.0002492033],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002371301,"about_ca_system_score_gemma":0.0003064239,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001507929,"about_ca_topic_score_gemma":0.001171661,"domain_scores_codex":[0.9996213,0.00007862475,0.00001943691,0.00006552493,0.0001835709,0.00003156557],"domain_scores_gemma":[0.9976491,0.001690845,0.0001880112,0.0001538616,0.0002740346,0.0000440968],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003384543,0.0001051007,0.01164665,0.0004599858,0.0001719674,0.0008796319,0.0003355992,0.3314262,0.2783965,0.07435149,0.001559637,0.3003288],"study_design_scores_gemma":[0.000003891087,0.00006858804,0.005979142,0.00001731399,0.00004219788,0.0003486455,0.00001828424,0.9564831,0.02934667,0.005625233,0.002046536,0.00002042429],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1152576,0.001630923,0.8800395,0.0002743162,0.00005570404,0.00002683397,0.00008280018,0.0001763594,0.002456045],"genre_scores_gemma":[0.8909855,0.002824408,0.102839,0.00004651752,0.0001076079,0.0000316344,0.0001919178,0.00008259038,0.002890889],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001507929,"threshold_uncertainty_score":0.003822029,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.024065761359568,"score_gpt":0.3088432798011399,"score_spread":0.2847775184415719,"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."}}