{"id":"W3111529171","doi":"10.22215/etd/2008-07490","title":"Joint source and channel coding for image transmission over noisy channels with feedback","year":2008,"lang":"en","type":"dissertation","venue":"","topic":"Advanced Data Compression Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Library and Archives Canada","funders":"","keywords":"Channel (broadcasting); Joint (building); Computer science; Coding (social sciences); Telecommunications; Art; Mathematics; Engineering; Statistics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001240809,0.0004415103,0.000473373,0.0002525592,0.000308784,0.0001901898,0.0006524444,0.0002414872,0.00002032537],"category_scores_gemma":[0.00001972093,0.0003351062,0.00009302005,0.0002054278,0.00004604205,0.0009487388,0.0001137204,0.0002721625,0.000003792378],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003667816,"about_ca_system_score_gemma":0.00007372992,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002573793,"about_ca_topic_score_gemma":0.000006838211,"domain_scores_codex":[0.9979446,0.00002789162,0.0003544668,0.0009085347,0.0003752824,0.000389236],"domain_scores_gemma":[0.9986658,0.00008911371,0.0002768716,0.0006097395,0.0001831671,0.0001753348],"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":[0.001275912,0.0006344708,0.000008741087,0.003943678,0.0002511768,0.0001696688,0.01785688,0.0003228816,0.188511,0.01528874,0.1183562,0.6533808],"study_design_scores_gemma":[0.002719004,0.0009478663,0.0002969645,0.00301103,0.0000619632,0.000185984,0.000510034,0.1670699,0.7584315,0.007651805,0.056643,0.002470918],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001170038,0.000267392,0.9953247,0.0001304415,0.000192776,0.0009394757,0.00001874617,0.0006364292,0.001320036],"genre_scores_gemma":[0.01684714,0.001324834,0.9542569,0.0004037295,0.0002112016,0.0004987501,0.0007991053,0.0001661827,0.02549218],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.6509098,"threshold_uncertainty_score":0.9999101,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01799741863065061,"score_gpt":0.2679420169841459,"score_spread":0.2499445983534953,"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."}}