{"id":"W2135435709","doi":"10.1109/tip.2005.857267","title":"On multirate optimality of JPEG2000 code stream","year":2005,"lang":"en","type":"article","venue":"IEEE Transactions on Image Processing","topic":"Advanced Data Compression Techniques","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"JPEG 2000; Computer science; Scalability; Algorithm; Image compression; Theoretical computer science; Mathematics; Mathematical optimization; Image processing; Artificial intelligence; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001723058,0.0002060689,0.0002163193,0.0002033186,0.0002868974,0.0001505478,0.0007143721,0.0000699703,0.00004343444],"category_scores_gemma":[0.00001125301,0.0001915847,0.00007731994,0.0003984296,0.0001371466,0.001661758,0.000007003589,0.0003075706,0.00003676799],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007558733,"about_ca_system_score_gemma":0.00009741101,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001090065,"about_ca_topic_score_gemma":0.000007113297,"domain_scores_codex":[0.9984792,0.00005796023,0.0003713909,0.0004869913,0.0003380849,0.0002663957],"domain_scores_gemma":[0.9987705,0.0001057999,0.000185007,0.0006926417,0.000154002,0.0000920366],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00004530215,0.0005226446,9.489836e-7,0.00004878956,0.000007828403,0.000004501835,0.0002719843,0.01994725,0.04373522,0.0001749012,0.0001595271,0.9350811],"study_design_scores_gemma":[0.0003082158,0.0001022551,0.00001287839,0.0001692768,0.000007160942,0.000006916249,0.00001093889,0.2039779,0.793875,0.0006853321,0.000651342,0.0001927633],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00287149,0.00005497256,0.9951508,0.0003135276,0.00007660571,0.0001663176,0.00005242824,0.0005808173,0.0007330124],"genre_scores_gemma":[0.5561908,0.00001487875,0.4434763,0.0001650513,0.00001225122,0.00002362877,9.612525e-7,0.00001282684,0.0001032972],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9348884,"threshold_uncertainty_score":0.7812597,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02027383446149404,"score_gpt":0.3077135105603026,"score_spread":0.2874396760988085,"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."}}