{"id":"W4400041208","doi":"10.18280/ts.410338","title":"Digital Documents Integrity Protection Using Invisible Changeable Watermark","year":2024,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Advanced Steganography and Watermarking Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Watermark; Computer security; Computer science; Digital watermarking; Internet privacy; Computer vision; Image (mathematics)","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":[0.0003658574,0.0004034527,0.0004996039,0.001180871,0.0005639271,0.001807562,0.0007727341,0.00131178,0.003639127],"category_scores_gemma":[0.002712799,0.0001961209,0.0005991206,0.00130972,0.0006293074,0.002962573,0.001072786,0.000870708,0.002028468],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003436094,"about_ca_system_score_gemma":0.0004385543,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003480374,"about_ca_topic_score_gemma":0.0002183755,"domain_scores_codex":[0.9987097,0.0000978446,0.00008519959,0.0002363593,0.0007555687,0.0001154014],"domain_scores_gemma":[0.9984673,0.0001931104,0.0003408523,0.0003988467,0.0005459689,0.00005383902],"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":[0.0004316113,0.0001354823,0.0009920241,0.001027432,0.00007295349,0.001297477,0.0005472729,0.005194574,0.4784174,0.01446577,0.006294989,0.491123],"study_design_scores_gemma":[0.000106104,0.0006092521,0.002535993,0.0002305486,0.0001585021,0.004644443,0.0003646094,0.04673154,0.8207705,0.01034921,0.1133548,0.0001446038],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2688028,0.01835882,0.6340366,0.002450186,0.001269866,0.0003412516,0.0006316576,0.004631828,0.06947709],"genre_scores_gemma":[0.8456163,0.008225353,0.1153349,0.0005728359,0.0004205749,0.0001440355,0.0007338199,0.0002231904,0.02872904],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003639127,"threshold_uncertainty_score":0.01217413,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03752497890902712,"score_gpt":0.2719294264715764,"score_spread":0.2344044475625492,"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."}}