{"id":"W7020112026","doi":"","title":"Joint source-channel decoding of JPEG2000 images with unequal loss protection","year":2008,"lang":"en","type":"dissertation","venue":"Summit (Simon Fraser University)","topic":"Advanced Data Compression Techniques","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Simon Fraser University","keywords":"Decoding methods; Joint (building); JPEG 2000; Correctness; Context (archaeology); Sequential decoding; List decoding","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001006824,0.0004155592,0.0004968444,0.001055103,0.0003596993,0.00006441628,0.00128842,0.0003165975,0.00002228224],"category_scores_gemma":[0.00003382197,0.0004237079,0.000150352,0.001130077,0.0001359352,0.001192256,0.0002637615,0.0005420499,0.00001454647],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001885634,"about_ca_system_score_gemma":0.0002342727,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003034638,"about_ca_topic_score_gemma":0.003288699,"domain_scores_codex":[0.9978592,0.0001182531,0.0003258118,0.0008065899,0.0005299503,0.0003601402],"domain_scores_gemma":[0.9979128,0.00005069475,0.0006579896,0.0009064124,0.0003336222,0.0001384928],"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":[0.008578636,0.004606739,0.04127873,0.006592028,0.002400277,0.01046775,0.00632922,0.03762253,0.009930144,0.02529342,0.1218819,0.7250186],"study_design_scores_gemma":[0.002758787,0.001318706,0.0007802972,0.002799103,0.0001964124,7.0748e-7,0.0149209,0.009437501,0.8338351,0.001766667,0.1293166,0.002869183],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05098686,0.0001343122,0.9445612,0.00004305533,0.000253048,0.0006770141,0.00005750869,0.0006806377,0.00260638],"genre_scores_gemma":[0.9087786,0.001062638,0.06837376,0.00005659181,0.0001358553,0.00002117314,0.0006831654,0.0001482173,0.02073998],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8761874,"threshold_uncertainty_score":0.9998215,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01779559957976567,"score_gpt":0.2225153213302782,"score_spread":0.2047197217505125,"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."}}