{"id":"W194588812","doi":"10.1142/9789814273398_0031","title":"INTELLIGENT WATERMARKING SYSTEMS: A SURVEY","year":2009,"lang":"en","type":"book-chapter","venue":"WORLD SCIENTIFIC eBooks","topic":"Advanced Steganography and Watermarking Techniques","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Digital watermarking; Computer science; Computer security; Computer vision; Image (mathematics)","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":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.002244444,0.0006865,0.0007010991,0.001600327,0.0007055634,0.001890723,0.002851045,0.0002659116,0.00002171339],"category_scores_gemma":[0.000009020414,0.0006207135,0.0003587381,0.0002040686,0.0004356782,0.0002725556,0.0006922465,0.0007220089,0.000128353],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000161235,"about_ca_system_score_gemma":0.0001346402,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001424888,"about_ca_topic_score_gemma":0.0006277385,"domain_scores_codex":[0.9956817,0.0001466208,0.0008672833,0.001586602,0.0009619832,0.0007557814],"domain_scores_gemma":[0.9963639,0.0001505478,0.0005112944,0.002394715,0.0003308635,0.0002486549],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002167172,0.00003119799,0.00003667891,0.0001159512,0.00009991734,0.0002254107,0.0006538944,0.00002529519,0.0001610443,0.8305912,0.0332417,0.1347961],"study_design_scores_gemma":[0.00007672122,0.00004241937,0.00002307492,0.0007685382,0.00001781852,0.00002670473,0.000001296017,0.0005213997,0.001034054,0.08708823,0.9096187,0.0007810757],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00001133008,0.0007449825,0.09117427,0.00005318366,0.0039288,0.0007458359,0.00004439598,0.001244702,0.9020525],"genre_scores_gemma":[0.0117918,0.000007188777,0.006429463,0.0001265416,0.0001495526,0.0000271415,0.00008661955,0.00005762173,0.9813241],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.876377,"threshold_uncertainty_score":0.9996244,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04157908363831551,"score_gpt":0.2546538173078287,"score_spread":0.2130747336695132,"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."}}