{"id":"W2063709875","doi":"10.1145/641007.641085","title":"Digital image watermarking for joint ownership","year":2002,"lang":"en","type":"article","venue":"","topic":"Advanced Steganography and Watermarking Techniques","field":"Computer Science","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Digital watermarking; Computer science; Watermark; Robustness (evolution); Invisibility; Wavelet; Artificial intelligence; Computer vision; Image (mathematics); Cryptography; Gaussian; Theoretical computer science; Digital image; Algorithm; Image processing","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":[],"consensus_categories":[],"category_scores_codex":[0.000108787,0.0001267637,0.0001182446,0.0001104292,0.0001323432,0.0003841618,0.0005211016,0.00004188494,0.00001699163],"category_scores_gemma":[0.00001971602,0.00009287805,0.0001310057,0.0001553891,0.00004341402,0.001361181,0.0001518638,0.00006690538,0.00002290932],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001387035,"about_ca_system_score_gemma":0.000002327685,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":6.24481e-7,"about_ca_topic_score_gemma":2.24142e-7,"domain_scores_codex":[0.999083,0.00001094254,0.0001750629,0.0002929271,0.0001177195,0.0003203864],"domain_scores_gemma":[0.9994014,0.00004655467,0.00004727933,0.000393587,0.00004638692,0.00006479593],"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":[0.00001030908,0.0001562313,0.0006004488,0.00006533357,0.00003462817,0.00003715573,0.0009285986,0.000004566615,0.008720248,0.09127533,0.0201811,0.8779861],"study_design_scores_gemma":[0.001180577,0.000477521,0.000400941,0.0001092854,0.00001236735,0.0001174438,0.00005118579,0.1567106,0.2990627,0.2197938,0.3206455,0.001438158],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.000553483,0.00002601988,0.9508773,0.0008830646,0.0001138978,0.000177291,0.000002852029,0.0008619113,0.04650417],"genre_scores_gemma":[0.633644,0.000008387787,0.3635024,0.0003016712,0.00005383918,0.00003859515,0.000002572467,0.00001003375,0.00243842],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8765479,"threshold_uncertainty_score":0.3787457,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.036591250841472,"score_gpt":0.2392483186281228,"score_spread":0.2026570677866508,"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."}}