{"id":"W2354321446","doi":"","title":"Realization of Image Compression System Based on TMS320C5409","year":2006,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Advanced Data Compression Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Image compression; JPEG; Computer vision; Data compression; Compression (physics); Data compression ratio; Realization (probability); Artificial intelligence; Lossless JPEG; Image quality; Texture compression; Image (mathematics); Image processing; Computer hardware; 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":[0.0001718047,0.0002810404,0.000302907,0.0005033624,0.0002590219,0.0002621786,0.0005585537,0.0003827984,0.004275861],"category_scores_gemma":[0.0003324074,0.0001366925,0.0001321128,0.0003334752,0.0001523565,0.0003300293,0.0001935903,0.000315643,0.001210742],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002824339,"about_ca_system_score_gemma":0.000442339,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006529276,"about_ca_topic_score_gemma":0.0007154768,"domain_scores_codex":[0.9997938,0.00001897335,0.00001569087,0.00003391158,0.0001067393,0.00003078023],"domain_scores_gemma":[0.9998854,0.00001705552,0.000008115024,0.00001086004,0.00006691499,0.00001162919],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004348279,0.0001022506,0.0009967464,0.0003692389,0.00003601519,0.0003828084,0.000143839,0.003017927,0.7664747,0.01067975,0.01098167,0.2063802],"study_design_scores_gemma":[0.0004249,0.001865205,0.005693091,0.00006704186,0.0001127161,0.003201981,0.00007980186,0.08468977,0.831039,0.002350207,0.07039998,0.00007631438],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1732874,0.001920859,0.7779302,0.0009389792,0.0007108584,0.0009094434,0.0008127287,0.009021536,0.03446804],"genre_scores_gemma":[0.6281703,0.000694487,0.3531916,0.0004550627,0.0001709887,0.000378252,0.00117886,0.0001194728,0.0156411],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004275861,"threshold_uncertainty_score":0.01430416,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00404712115173066,"score_gpt":0.2325010846449098,"score_spread":0.2284539634931791,"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."}}