{"id":"W2101377473","doi":"10.1109/tip.2010.2049529","title":"Joint Decoding of Unequally Protected JPEG2000 Bitstreams and Reed-Solomon Codes","year":2010,"lang":"en","type":"article","venue":"IEEE Transactions on Image Processing","topic":"Error Correcting Code Techniques","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Decoding methods; Computer science; Joint (building); List decoding; Sequential decoding; JPEG 2000; Context (archaeology); Error detection and correction; Process (computing); Soft-decision decoder; Set (abstract data type); Real-time computing; Algorithm; Computer vision; Image processing; Image (mathematics); Concatenated error correction code; Image compression; Block code; Engineering","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":[0.0004157849,0.0002046584,0.0002514093,0.0003349943,0.0003838278,0.0002897934,0.000399211,0.0001274214,0.000008063666],"category_scores_gemma":[0.00004546477,0.0002070707,0.00006470794,0.0006055542,0.0002012287,0.0008601208,0.000008021301,0.0006245824,0.000003661403],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003018388,"about_ca_system_score_gemma":0.0001604739,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001339434,"about_ca_topic_score_gemma":0.0001939279,"domain_scores_codex":[0.9985384,0.00005584758,0.0003863122,0.0004701794,0.0002634495,0.0002858611],"domain_scores_gemma":[0.9989257,0.00008997892,0.0002226796,0.0004263147,0.0002434704,0.00009189195],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001072873,0.00008629535,0.00001795902,0.00008926353,0.000006590197,0.00000474974,0.001102577,0.00003635528,0.602977,0.00003372909,0.000003723815,0.395631],"study_design_scores_gemma":[0.0002186991,0.0001559062,0.0001380706,0.0002687722,0.00001669945,0.00007774332,0.00006352283,0.07752635,0.9205682,0.0007070974,0.00001353286,0.0002454442],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1478337,0.00003565952,0.8504465,0.0001838563,0.0001977569,0.0002508488,0.000003343178,0.000725739,0.0003225132],"genre_scores_gemma":[0.6774367,0.000008464859,0.3224274,0.00003164151,0.0000130774,0.00003634559,2.25313e-7,0.00001798109,0.00002816375],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.529603,"threshold_uncertainty_score":0.8444098,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01716938065540212,"score_gpt":0.2653495442576154,"score_spread":0.2481801636022133,"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."}}