{"id":"W2101103348","doi":"10.1109/cgiv.2009.49","title":"A Locatable Zero Watermarking Scheme and Visualization for 3D Mesh Models","year":2009,"lang":"en","type":"article","venue":"","topic":"Advanced Steganography and Watermarking Techniques","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Digital watermarking; Computer science; T-vertices; Octree; Watermark; Algorithm; Visualization; Singular value decomposition; Polygon mesh; Mesh generation; Theoretical computer science; Embedding; Artificial intelligence; Computer graphics (images); 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":[0.0002614073,0.0003307885,0.0002465582,0.0008569244,0.0002489696,0.0005497822,0.0005131679,0.0005409783,0.001694935],"category_scores_gemma":[0.0009638536,0.0002052866,0.000404011,0.0005576028,0.0005410265,0.001155276,0.0008091901,0.0004148685,0.0004562454],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002475836,"about_ca_system_score_gemma":0.0002145262,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004580067,"about_ca_topic_score_gemma":0.0004178532,"domain_scores_codex":[0.9997519,0.00004995163,0.0000144692,0.00003978088,0.0001240336,0.00001988796],"domain_scores_gemma":[0.9996787,0.00005811864,0.00004793465,0.0001400187,0.00005531759,0.00001994493],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003916421,0.00004199341,0.0006598233,0.0001160022,0.00002710303,0.0002695236,0.0002839471,0.03014336,0.5129855,0.045604,0.001773999,0.4077032],"study_design_scores_gemma":[0.00005408256,0.0003165591,0.001334381,0.00003868093,0.00003222569,0.0009351707,0.00008422232,0.5992746,0.3563415,0.01601702,0.02549055,0.00008099844],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03654699,0.0002118551,0.9605842,0.0001072079,0.00005331542,0.00003376987,0.00004338338,0.0009547357,0.001464529],"genre_scores_gemma":[0.4194669,0.0004232707,0.5753527,0.00004513781,0.0000462746,0.00005737253,0.0001591948,0.0001370025,0.004312185],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001694935,"threshold_uncertainty_score":0.00567019,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02136133383053756,"score_gpt":0.2735929194616782,"score_spread":0.2522315856311406,"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."}}