{"id":"W4250887053","doi":"10.1007/978-0-387-78414-4_126","title":"Multimedia Authentication","year":2008,"lang":"en","type":"book-chapter","venue":"Encyclopedia of Multimedia","topic":"Advanced Steganography and Watermarking Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Authentication (law); Multimedia; Computer security","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":[0.0001693108,0.0009247564,0.0004055098,0.001627002,0.0006473144,0.00155641,0.0006872621,0.001120146,0.1112485],"category_scores_gemma":[0.0004906895,0.0002978897,0.0003003305,0.001230251,0.0004031507,0.001838435,0.001198613,0.0006823348,0.09269098],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003208139,"about_ca_system_score_gemma":0.0003128919,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002746455,"about_ca_topic_score_gemma":0.0004609184,"domain_scores_codex":[0.9997603,0.00001780976,0.00001072667,0.0000520802,0.0001353408,0.00002361682],"domain_scores_gemma":[0.9997709,0.00003446039,0.00001291666,0.00007675325,0.00008915378,0.00001587232],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001131375,0.00005536335,0.0001122547,0.000324336,0.00001093746,0.0002460095,0.0001298188,0.0005683092,0.03671886,0.04908852,0.1335091,0.7791233],"study_design_scores_gemma":[0.000009204407,0.00005492935,0.0003054069,0.0001373369,0.00001602103,0.001366876,0.00004270573,0.003028532,0.03376057,0.01178248,0.9494746,0.00002151813],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003602069,0.01144968,0.1523476,0.0007880455,0.001807868,0.0002546687,0.0006855119,0.005976884,0.8230876],"genre_scores_gemma":[0.0317602,0.006040682,0.02821478,0.0004600737,0.0004651253,0.00008091956,0.0008940657,0.0003395397,0.9317446],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1112485,"threshold_uncertainty_score":0.3721632,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01432014603813614,"score_gpt":0.2389070004992664,"score_spread":0.2245868544611302,"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."}}