{"id":"W2382970620","doi":"","title":"Set based on Fractal Image Compression Method","year":2010,"lang":"en","type":"article","venue":"","topic":"Chaos-based Image/Signal Encryption","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"CAE (Canada)","funders":"","keywords":"Fractal compression; Fractal transform; Image compression; Texture compression; Quadtree; Data compression; Computer science; Artificial intelligence; Data compression ratio; Computer vision; Compression ratio; Compression (physics); Lossless compression; Color Cell Compression; Algorithm; Fractal; Image (mathematics); Image processing; Mathematics; Materials science","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":[0.0001192241,0.0002686342,0.0004318776,0.001058707,0.000293143,0.0004068592,0.0003684423,0.0003437443,0.001696403],"category_scores_gemma":[0.0004862457,0.00009516204,0.0004047513,0.0006337647,0.0003579521,0.0005555532,0.0003662966,0.000444548,0.0004338938],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003404696,"about_ca_system_score_gemma":0.0003021677,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007360227,"about_ca_topic_score_gemma":0.0003702667,"domain_scores_codex":[0.999708,0.00002182966,0.00001230311,0.00002570416,0.0002176791,0.00001438944],"domain_scores_gemma":[0.9998289,0.00004118602,0.00001186462,0.00002474669,0.0000842255,0.000008905751],"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":[0.0001475181,0.00007255684,0.0009339866,0.0003733052,0.00007042732,0.0004165808,0.0002844262,0.06093691,0.1663408,0.1485698,0.006836357,0.6150173],"study_design_scores_gemma":[0.0000868511,0.0002999661,0.002075438,0.00007272948,0.00006674923,0.002804264,0.00006862669,0.7775238,0.13234,0.0320708,0.05247432,0.0001165066],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05251141,0.002072042,0.9181768,0.0003699355,0.0003194258,0.0001838623,0.000142161,0.001195734,0.02502859],"genre_scores_gemma":[0.5324055,0.003280805,0.4460179,0.0002248206,0.0003056591,0.0002736501,0.0004179796,0.0001076942,0.01696601],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001696403,"threshold_uncertainty_score":0.005675077,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01349244221646628,"score_gpt":0.308083464240846,"score_spread":0.2945910220243797,"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."}}