{"id":"W2130770975","doi":"10.1109/icip.2000.899223","title":"JasPer: a software-based JPEG-2000 codec implementation","year":2000,"lang":"en","type":"article","venue":"","topic":"Advanced Data Compression Techniques","field":"Computer Science","cited_by":177,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Codec; Computer science; JPEG; Transform coding; Software; Lossless JPEG; JPEG 2000; Coding (social sciences); Adaptive Multi-Rate audio codec; Data compression; Computer architecture; Embedded system; Image compression; Computer hardware; Image processing; Image (mathematics); Discrete cosine transform; Speech recognition; Computer vision; Operating system; Speech processing; Voice activity detection; 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":[0.0004733602,0.0007125217,0.0003737611,0.001316638,0.0003623801,0.0009351145,0.001378882,0.0006251846,0.007160845],"category_scores_gemma":[0.002179004,0.0003533503,0.0002923565,0.0007069113,0.0003174694,0.0009390072,0.0006444455,0.001003131,0.004070383],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003938218,"about_ca_system_score_gemma":0.0008515432,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001851387,"about_ca_topic_score_gemma":0.002259618,"domain_scores_codex":[0.9994293,0.00004174389,0.00003119355,0.00005270721,0.0003961649,0.00004892654],"domain_scores_gemma":[0.9993377,0.00008300561,0.00005029136,0.00009290142,0.0003914057,0.00004462848],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001196256,0.0003500929,0.002127654,0.0005560321,0.0001314022,0.0006322555,0.0001879669,0.01823839,0.3217535,0.03135773,0.07380679,0.5496619],"study_design_scores_gemma":[0.0004639066,0.0007073579,0.002714126,0.0001217558,0.0001469148,0.002294212,0.00006319793,0.4167874,0.4047289,0.006421833,0.1653482,0.0002023505],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.0191928,0.0006854796,0.8903881,0.0002401254,0.0003662244,0.0003824429,0.0006573594,0.07014071,0.01794679],"genre_scores_gemma":[0.1623241,0.0007405291,0.7952311,0.0005302954,0.0001432829,0.0003691965,0.002678669,0.004065293,0.03391761],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.007160845,"threshold_uncertainty_score":0.0239554,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01132716568854305,"score_gpt":0.3007598224798596,"score_spread":0.2894326567913166,"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."}}