{"id":"W2007299613","doi":"10.1117/12.526714","title":"Analysis and design of authentication watermarking","year":2004,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Advanced Steganography and Watermarking Techniques","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Digital watermarking; Authentication (law); 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001179209,0.000529899,0.0004851218,0.0006965203,0.0003511734,0.001200764,0.0006805378,0.000948192,0.001822664],"category_scores_gemma":[0.004086392,0.0003979689,0.0004752047,0.000458889,0.001352802,0.001551852,0.0009843258,0.0009067316,0.0005645904],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001004177,"about_ca_system_score_gemma":0.001164825,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005445505,"about_ca_topic_score_gemma":0.0003470654,"domain_scores_codex":[0.9988222,0.0003442334,0.00005491255,0.0001758236,0.0005279018,0.00007496428],"domain_scores_gemma":[0.9986271,0.0005878995,0.0002221119,0.0002102819,0.0003100189,0.00004264096],"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":[0.00007995938,0.0000258479,0.0003144756,0.000190342,0.00002775826,0.00009525706,0.0001135518,0.518392,0.03012556,0.3781095,0.0005368746,0.07198904],"study_design_scores_gemma":[0.0000100024,0.00005664921,0.00006649215,0.00002205631,0.000007216206,0.00006871428,0.00001431999,0.9232368,0.007170679,0.06581768,0.00351382,0.00001560174],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004215947,0.0001486436,0.9934955,0.00007472153,0.00001427819,0.00002214125,0.00001409584,0.00006126773,0.001953416],"genre_scores_gemma":[0.5754044,0.001171576,0.4178318,0.0001018251,0.00008252692,0.0002262286,0.00008778253,0.00006633394,0.005027494],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001822664,"threshold_uncertainty_score":0.007285833,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01190313153866417,"score_gpt":0.2301461201148346,"score_spread":0.2182429885761704,"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."}}