{"id":"W4388094857","doi":"10.18280/ts.400520","title":"A Robust Algorithm for Digital Image Copyright Protection and Tampering Detection: Employing DWT, DCT, and Blowfish Techniques","year":2023,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Digital Media Forensic Detection","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Gachon University","keywords":"Discrete cosine transform; Computer science; Algorithm; Image (mathematics); Computer vision; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002861493,0.0001905682,0.0001643183,0.0002421449,0.0002511239,0.0008547811,0.000151043,0.00006376925,0.000003766918],"category_scores_gemma":[0.00003291438,0.0001865265,0.00005226739,0.0004223439,0.00009294353,0.001734004,0.0001494724,0.0001063789,0.000006143139],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005771957,"about_ca_system_score_gemma":0.00001783032,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000109757,"about_ca_topic_score_gemma":0.000008869903,"domain_scores_codex":[0.9986767,0.00001659291,0.0002500251,0.0004812695,0.0002580313,0.0003173698],"domain_scores_gemma":[0.9995117,0.00006970828,0.00008061035,0.0001490476,0.00007876495,0.0001101437],"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":[0.00001174553,0.00002263047,0.00001442038,0.00004543869,0.00001903279,0.00001035963,0.0002169795,0.00001293725,0.008562386,0.00006921263,0.000121506,0.9908934],"study_design_scores_gemma":[0.001052495,0.001224519,0.000834662,0.0001352197,0.00002278845,0.000240069,0.0001253417,0.8178301,0.167592,0.003568418,0.006821369,0.0005529418],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07144345,0.00001562924,0.9259713,0.0001573009,0.0002569654,0.0009396064,0.00001748452,0.001015287,0.0001829328],"genre_scores_gemma":[0.9284566,0.00001023634,0.07035493,0.00005036686,0.0002733844,0.0006797368,0.00001022422,0.00003444039,0.000130096],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9903404,"threshold_uncertainty_score":0.8242673,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02104901630160717,"score_gpt":0.2156682323228519,"score_spread":0.1946192160212447,"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."}}